CE 4970 - Topics in Computer Engineering with Laboratory

• Varies

• Varies

CH 103 - Principles of Chemistry

• Classify and predict selected properties of elements using the periodic table
• Describe the structure of atoms in terms of protons, neutrons, electrons, and energy levels
• Understand the concept of the mole and to use it to solve stoichiometry problems
• Describe and explain the behavior of substances using the concepts of chemical and physical change, chemical and physical properties, elements, compounds, mixtures, and the three common states of matter
• Solve selected problems involving concentrations of solutions
• Understand chemistry laboratory procedures and be able to handle chemicals safely
• Collect and organize laboratory data
• Communicate laboratory results and conclusions with appropriate technical writing skills
• Recognize and apply key features of the scientific method to an investigation

• None

• Classification and properties (chemical and physical) of matter
• Atomic structure
• Chemical equation and stoichiometry
• The formation of compounds from atoms, chemical bonding
• Gaseous state of matter, gas laws and chemical reactions
• Liquid state and concentrations of solutions, acids, and bases
• Solid state, elements of crystal structure, and properties of solids, metallurgy

• Density and specific gravity
• Spectrophotometric determination of copper
• Metallurgy
• Determination of iron content in food
• Determination of formulae
• Types of chemical reactions
• Sequence of chemical reaction
• Determination of atomic weight of aluminum
• Determination of the molecular weight of a volatile liquid

CH 199 - Project in Chemistry

• Have had the opportunity to plan a course of study
• Have broadened his/her scientific knowledge

• None

• To be determined

• Depends on topic selected

CH 200 - Chemistry I

• Plan and create structured experiments
• Write proficiently in technical communications
• In a laboratory experiment, identify potential procedural errors
• Differentiate between precision and accuracy
• Interpret data to isolate trends
• Use the periodic table to determine electron configurations, trends in atomic radii, trends in ionic radii, ionization energy, electron affinity, and electronegativity
• Describe the formation and properties of ionic, covalent, and metallic bonding, including Lewis dot structures
• Predict Lewis dot structures, molecular geometry, and molecular polarity for molecules and polyatomic ions
• Compare melting points, solubility and other physical properties for molecules using intermolecular forces
• Apply the law of conservation of mass to solve stoichiometric problems, including limited reagent problems
• Employ the gas laws, the kinetic theory of gases and gas stoichometry
• Explain the energy considerations in material changes, both physical and chemical
• Use solution chemistry, including molarity, dilutions, pH, acid-base properties

• One year high school chemistry

• Classification and properties of matter, atomic structure, periodic relationships, etc.
• Chemical bonding, Lewis dot structure, molecular geometry and dipole moments and intermolecular forces
• Gases
• Mass and enthalpy relationships in chemical reactions
• Solutions, molarity, pH

• Physical and chemical changes
• Density
• Properties of solids (ionic, molecular, metallic)
• Solution concentration and Beer’s law
• Identification of a molecular unknown (intermolecular forces)
• Determination of the atomic mass of aluminum (gas laws)
• Determination of the enthalpy of a reaction
• Molecular geometry and bonding
• Stoichometry and limiting reactants

CH 200A - Chemistry I

• Plan and create structured experiments
• Write proficiently in technical communications
• State potential procedural errors, differentiating between precision and accuracy, after conducting a laboratory experiment
• Interpret data and isolate trends
• Write chemical names based on chemical formula and vice versa
• Write chemical reaction equations
• Explain their understanding of the periodic table including, electron configurations, trends in atomic radii, ionization energy, electron affinity, and electronegativity
• Describe and illustrate the formation and properties of ionic, covalent, and metallic bonding, including Lewis dot structures
• Describe and illustrate molecules using molecular geometry
• Explain the difference between intramolecular and intermolecular forces
• Explain the law of conservation of mass and solve stoichiometric problems, including limited reagent and percent yield
• State the gas laws including the kinetic theory of gases and solve gas law stoichiometry
• Understand the energy considerations in material changes, both physical and chemical/endothermic vs. exothermic
• Understand colligative properties of solution including solubility of gases
• Understand solution chemistry, including molarity, dilutions, pH, acid-base properties

• None

• Nomenclature (naming compounds)
• Dimensional analysis and stoichiometry
• Mass relationships and chemical reactions
• Solutions, molarity, pH and solubility of gases
• Classification and properties of matter, atomic structure, periodic relationships, etc.
• Chemical bonding, Lewis dot structure, molecular geometry, dipole moments and polarity
• Properties of gasses
• Heat of reaction-endothermic and exothermic reactions

• Determination of percent recovery of metal
• Determination of chemical formula of hydrates
• Determination of unknown compound via physical properties
• Gases- Charles’ law
• Determination of the atomic mass of aluminum
• Determination of the heat of reaction
• Intermolecular forces
• Determination of composition of a mixture

CH 200B - Chemistry I

• Plan and create structured experiments
• Write proficiently in technical communications
• In a laboratory experiment, identify potential procedural errors
• Differentiate between precision and accuracy
• Interpret data to isolate trends
• Use the periodic table to determine electron configurations, trends in atomic radii, trends in ionic radii, ionization energy, electron affinity, and electronegativity
• Describe the formation and properties of ionic, covalent, and metallic bonding, including Lewis dot structures
• Predict Lewis dot structures, molecular geometry, and molecular polarity for molecules and polyatomic ions
• Compare melting points, solubility and other physical properties for molecules using intermolecular forces
• Apply the law of conservation of mass to solve stoichiometric problems, including limited reagent problems
• Employ the gas laws, the kinetic theory of gases and gas stoichometry
• Explain the energy considerations in material changes, both physical and chemical
• Explain colligative properties of solutions including solubility of gases
• Use solution chemistry, including molarity, dilutions, pH, acid-base properties

• No prerequisites by topic appended

• Nomenclature (naming compounds)
• Dimensional analysis and stoichiometry
• Mass relationships and chemical reactions
• Solutions, molarity, pH and solubility of gases
• Classification and properties of matter, atomic structure, periodic relationships, etc.
• Chemical bonding, Lewis dot structure, molecular geometry, dipole moments and polarity
• Properties of gasses
• Heat of reaction-endothermic and exothermic reactions

• Density
• Determination of chemical formula of compounds
• Determination of unknown compound via physical properties
• Determination of the atomic mass of aluminum
• Determination of the heat of reaction
• Intermolecular forces
• Determination of composition of a mixture

CH 201 - Chemistry II

• Plan and create structured experiments; conduct an experiment properly; collect appropriate data and observations, and analyze and interpret data
• Qualitatively predict chemical equilibria and quantitatively perform equilibria calculations
• Identify and compare solid structures and their physical properties
• Explain and quantify the molecular level changes that occur during oxidation reduction reactions, corrosion; the operation of an electrochemical cell; and acid dissociation, base dissociation, hydrolysis, solubility, precipitation, neutralization and buffer systems
• Describe typical sizes of atoms, molecules, and bonds
• Explain at the molecular level how temperature, concentration, catalysts and surface area affect the rate, the rate law, and the activation energy of a reaction
• Identify common acids, bases, and ionic compounds, including organic acids and bases

• One quarter university level chemistry

• Corrosion
• Oxidation-reduction
• Galvanic cell technology
• Electrolysis
• Types of solids
• Crystalline materials
• Reaction rates and chemical change
• Acid-base theory
• Gas-phase equilibria
• Buffers
• Solution-phase equilibria

• Corrosion of iron
• Buffers
• Rates of chemical reactions
• Structures of solids and their properties
• Analysis of ions
• LeChatelier’s principle

CH 222 - Organic Chemistry I

• Relate chemical bonding to molecular shape
• Identify and name types of aliphatic hydrocarbons and have a knowledge of their properties, reactions, preparation and commercial applications
• Identify and name types of aromatic hydrocarbons and have a knowledge of their properties, reactions, preparation and commercial applications
• Classify organic compounds by their functional groups and have knowledge of their reactivities, and commercial applications
• Understand the interrelationship of organic reactions with those of the human body and the metabolic processes essential to body function
• Understand the safe handling of organic chemicals

• Polarity
• Dipole moment
• Polar and non-polar covalent bonds
• Electronegativity

• Review of basic chemical concepts – shapes of molecules, bonding, isomerism, resonance, hybridization (3 classes)
• Alkanes and cycloalkanes - nomenclature, properties, synthesis, reactions (3 classes)
• Alkenes and Alkynes - nomenclature, properties, synthesis, reactions (2 classes)
• Aromatic and heterocyclic compounds - nomenclature, properties, synthesis, reactions (2 classes)
• Alcohols, esters, phenols, thiols - nomenclature, physical and chemical properties, reactions (2 classes)
• Aldehydes and ketones - nomenclature, properties, reactions, preparations (2 classes)
• Carboxylic acids - structure, properties, nomenclature, reactions (2 classes)
• Derivates of carboxylic acids - nomenclature, properties, reactions and applications (2 classes)
• Amines - properties, nomenclature, reactions, preparations. Study of naturally occurring and biogenic amines (2 classes)

• Laboratory techniques part I-liquid-liquid extraction and melting point, refluxing and TLC (4 hours total)
• Laboratory techniques part II-simple distillation and estimation of boiling point
• Nomenclature and functional groups of organic compounds, structure representation
• Properties of alcohols
• Synthesis of salicylic acid: synthesis and start of recrystallization
• Synthesis of aspirin: synthesis and start of recrystallization
• Analysis of recrystallized salicylic acid and aspirin

CH 223 - Biochemistry

• Identify and name different types of biomolecules, DNA, RNA, proteins, lipids, carbohydrates, etc.
• Understand the structures and functions of the biomolecules, DNA, RNA, proteins, lipids and establish the structure-function relationship for the different biomolecules
• Manipulate basic structural and functional concepts about biomolecules and biopolymers like nucleic acids, carbohydrates, proteins, enzymes and lipids
• Translate the genetic code and understand the importance of single, double or multiple mutations in a genome
• Analyze and apply the interrelationship of biochemistry reactions with those of the human body and metabolic processes essential to body functions
• Participate in scientific conversations about biochemistry, using correct terminology, ask relevant questions in a seminar or colloquium with confidence and take part in science activities (presentations and meetings) individually or as a team member
• Use proper and accurate basic biochemistry laboratory techniques and handle the biochemicals appropriately under a variety of circumstances
• Handle and dispose all biochemical materials safely

• Positive and negative ions
• Amines
• Amides
• Carboxylic acids
• Acid derivatives
• Nucleophiles
• Electrophiles

• Proteins-structures, assembly, functions and applications (6 classes)
• Enzymes-structures and functions (2 classes)
• Nucleic acids-structures, functions, and applications (4 classes)
• Genetic code, translation, gene expression (4 classes)
• Carbohydrates-structures, functions and roles in metabolism (2 classes)
• Lipids, steroids and hormones (2 classes)
• Biochemistry leading to biotechnology (1 class)
• Biochemistry seminar by guest speaker (1 class)

• Introduction to the properties of proteins
• Introduction to carbohydrates and their qualitative analysis
• Introduction to the properties of lipids
• Modeling the nucleic acids: nonbonding interaction
• Modeling the nucleic acids: replication and transcription
• Modeling the nucleic acids: translation and mutation
• Blood typing HIV (simulating) test
• Chromatography of amino acids
• Sugars

CH 302 - Chemistry III

• Be exposed in more depth to quantum mechanics
• Be exposed in more depth to various topics involved in phase change
• Understand the chemistry of transition metals including crystal field theory, molecular orbital theory and the complex ion formation
• Understand thermodynamics including electrochemistry
• Expand their knowledge of solution chemistry

• Two university level chemistry courses

• Quantum mechanics
• Various topics of phase change
• Chemistry of transition metals
• Thermodynamics including electrochemistry
• Solution chemistry

CH 303 - Chemistry III Lab

• Understand the chemistry of transition metals including crystal field theory, molecular orbital theory, complex ion formation
• Expand their knowledge of chemical Kinetics
• Understand thermodynamics, including electrochemistry and entropy
• Expand their knowledge of solutions chemistry including acid base titrations involving weak, dipriotic acids, and investigation of colligative properties
• Be exposed in more depth to various topics involved in phase change
• Interpret data to isolate trends
• Identify potential procedural errors after conducting a laboratory experiment
• Demonstrate proficiency in technical communication

• Two university level chemistry courses

• No course topics have been appended

• Acid base titrations involving weak, diprotic acids
• Coordination chemistry
• Chemical kinetics
• Thermodynamics
• Colligative properties
• Phase diagrams
• Complex ion equilibrium
• Electrochemistry

CH 310 - Applied Chemistry

• Understand the periodic classification of the elements
• Understand the structure of the atom
• Solve stoichiometry problems
• Understand the laws governing changes in matter composition
• Understand chemical bonding and the basic properties of solids and liquids
• Solve selected problems involving concentrations of solutions
• Understand and solve selected problems involving thermochemistry and electrochemical reactions
• Understand chemistry laboratory procedures and be able to handle chemicals safely

• None 

• Classification and properties (chemical and physical) of matter
• Atomic structure and chemical properties of the elements
• Chemical equation and stoichiometry
• Reactions in aqueous solutions
• Gas laws
• Thermochemistry and chemical equilibrium
• Intermolecular forces
• Electrochemistry and corrosion

• Density and specific gravity
• Determination of formulae
• Types of chemical reactions
• Metallurgy
• Properties of solids
• Enthalpy and entropy of a chemical reaction
• Determination of the atomic weight of aluminum
• Electrochemical cells (fuel cells)
• The corrosion of iron

CH 322 - Organic Chemistry II

• Identify and name types of aliphatic and aromatic hydrocarbons
• Classify organic compounds by their functional groups and understand their reactivities
• Understand in-depth important reaction mechanisms
• Relate these reactions mechanisms with metabolic processes of the human body
• Understand medical and biotechnological applications of organic chemistry
• Be exposed to the industrial applications of organic molecules
• Make scientific presentation on a topic related to organic chemistry and its commercial applications
• Identify and classify organic polymers

• None

• Review of basic organic chemistry: IUPAC nomenclature of alkanes and cycloalkanes, alkenes, alkynes, and arenes (1 class)
• Review of functional groups: oxygen containing functional groups (alcohol, ether, aldehyde, ketone and carboxylic acid), carboxylic derivatives (ester, thioester, amide), Nitrogen containing organic compounds (amines, nitrocompounds) (2 classes)
• Reactions of alkyl halides: nucleophilic substitation, SN 1 and SN 2 reactions, E1, and E2 reactions (3 classes)
• Arenes: electrophilic substitution, nitration, sulfonation, halogenation, Friedel-crafts alkylation and acylation (4 classes)
• Aldehydes, ketones and sugars: reactions of aldehydes and ketones, acetals, imines in biological chemistry, stereoselective addition of carbonyls groups, oxidation of aldehydes, aldol condensation, nucleophilc addition to carbonyl group, reactions of carbohydrates (6 classes)
• Carboxylic acids: physical properties, dicarboxylic acids, reactions of carboxylic acids, acid-catalyzed estrification, lactones, decarboxylation (5 classes)
• Amides & Amines: basicity of amines, reactions of amines, alkylation, Hofmann elimination, electrophilic substitution, nitrosation, amino acids, peptide (amide) bonds (5 classes)
• Introduction to polymer chemistry
• Special Topics: biomedical, biotechological and Industrial applications of organic chemistry (3 classes)

CH 323 - Organic Chemistry II Lab

• Fractional distillation of alcohols
• Nuceophilic substitution (SN1 vs SN2) reaction mechanisms
• Properties of alcohols
• Infrared spectroscopy (FTIR)
• Dienes (Diels-Alder reaction)
• Electrophilic aromatic substitution
• Synthesis of methyl benzoate (ester)
• Depolymerization of PET plastics
• Synthesis of sulfanilamide(antibiotic)
• Quantitation and characterization of terethalic acid

• None

• Fractional distillation of alcohols
• Properties of alcohols
• Nuceophilic substitution (Sn1 vs Sn2) reaction mechanisms
• Infrared spectroscopy (FTIR)
• Dienes (Diels-Alder reaction)
• Electrophilic aromatic substitution
• Synthesis of methyl benzoate (ester)
• Depolymerization of PET plastics
• Synthesis of sulfanilamide (antibiotic)
• Quantitation and characterization of terethalic acid

• Experiment 1: Fractional distillation
• Experiment 2: Properties of alcohols
• Experiment 3: Nuceophilic substitution (Sn1 vs Sn2)
• Experiment 4: Infrared Spectroscopy (FTIR)
• Experiment 5: Dienes (Diels-Alder reaction)
• Experiment 6: Electrophilic aromatic substitution
• Experiment 7: Synthesis of methyl benzoate (ester)
• Experiment 8: Depolymerization of PET plastics
• Experiment 9: Synthesis of sulfanilamide (antibiotic)
• Experiment 10: Quantitation and characterization of Terethalic acid

CH 353 - Fundamentals of Environmental Chem

• Understand basic chemistry of the atmosphere
• Understand the ozone layer
• Understand air pollution
• Understand climate change
• Understand toxic chemicals
• Understand water pollution and treatment
• Understand basics of solid waste
• Understand bioremediation methods

• None

• Ozone layer
• Air pollution
• Greenhouse effect and global warming
• Water pollution and treatment
• Organic toxins
• Toxic heavy metals
• Municipal waste and contamination of soils
• Modern methods of bioremediation

CH 371 - Modern Biotechnology

• Discuss the history, impacts, implications and ethics of biotechnology
• Identify several principles of biotechnology
• Be involved in a discussion about the pros and cons of the different aspects of the field
• Use the proper terminology for several experimental techniques
• Present a half hour talk on one topic related to biotechnology
• Practice and teach at least three different techniques of biotechnology independently

• Structure and function of DNA and RN
• Transcription
• Translation
• Genetic code
• Gene expression

• We know who you are: genes and their expression
• Is someone like you at home? Cloning animals and/or humans
• Trail of the Crime: DNA and forensics
• Can we live forever? Proteins and their functions
• More deadly than atomic bomb? Viruses and bio-war
• Can we see the biomolecules? Biomolecular modeling
• Molecules within molecules! Transformation
• Molecular scissors! Endonucleases

• Difference of macro techniques from micro techniques
• DNA separating gels
• Understanding two strands of DNA and plasmids
• Isolation of DNA by spooling
• Transformation
• Gel electrophoresis
• Cutting DNA Lambda with restriction enzymes
• Biomolecular modeling
• Quantification of DNA with gel electrophoresis
• Quantification of DNA by spectrophotometry

CH 373 - Advanced Biotechnology

• Understand and perform several advance level biotechnology techniques
• Understand the intellectual manipulations to work through the techniques
• Understand theoretical concept of the cell culture
• Use the proper terminology for several cell culture techniques
• Independently perform few basic sterile techniques of the bacterial culture
• Present a talk and lead a discussion session on the new ideas in the field

• Eukaryotic and prokaryotic cells

• Cell growth and sterile techniques
• Bacterial culture
• Technology: advantages and applications
• Propagation and maintenance of a mammalian (eukaryotic) cell line
• Extraction and purification of mRNA from eukaryotic cells
• Transfection of mammalian cell lines
• Detection of mycoplasma in the mammalian cells
• Expression of a commercially available green fluorescent protein

• Sterile techniques
• Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (PAGE)
• Blue staining of proteins
• Western blotting and immuno-detection
• Oligonucleotide design by computer
• Polymerase chain reaction (PCR)
• Quantitation of proteins
• Internet Gene Bank search

CH 401 - Topics in Chemistry

• Vary by course offering

• None

• Depend on the course offering

CH 499 - Independent Study

• Have the opportunity to plan a course of study
• Broaden his/her scientific knowledge

• None

• To be determined

• Depends on topic selected

CH 2050 - General Chemistry for Life Sciences

• Conduct experiments, make observations, collect, analyze, and interpret data
• Recognize the use of common measurement units, convert measurements done in metric system into other related units, calculate medication dosing
• Describe the structure of atom, use the mole concept and molecular formulas
• Locate the elements in the periodic table; recognize property trends, electron configuration
• Draw Lewis dot structures, describe bonds, name compounds, and write formulas
• Classify different kinds of chemical reactions, perform reaction stoichiometry
• Identify states of matter, perform calculations based on gas laws, apply gas laws to life science situations, perform enthalpy calculations
• Predict the solubility of substances on the basis of molecular polarity and intermolecular forces, calculate solution concentrations, Henry’s law, describe colligative properties
• Define what are acids, bases, salts and buffers, calculate pH, blood as buffer, and learn pathologies of acidosis or alkalosis
• Describe forms of radiation, use nuclear reaction equations and half-life, recognize health effects of radiation, use biological units red, gray and rem, describe medical uses

• None

• Measurement units, interconversion of units, medication dosing: dose per kilogram body weight, drip rate of liquids, drops per minute dosing
• Atoms and molecules: Structure of atom, isotopes, mole concept, chemical formulas
• Periodic table: electronic configuration and property trends
• Bonding: ionic and covalent bonding, electronegativity, polar covalent bonds
• Chemical reactions: types of chemical reactions, decomposition, combination, replacement, ionic. Exothermic and endothermic reactions, stoichiometry
• States of matter: liquid, solid, gas, kinetic molecular theory, gas laws, evaporation, sublimation, boiling and melting points, enthalpy
• Solutions and colloids: solution and solubility, intermolecular forces, concentration expressions-nsmolarity, percent solution, milli-equivalent solution, solution preparation and stoichiometry, Henry’s law, colligative properties, colloids, dialysis
• Acid and base properties of solutions, Bronsted theory, pH, strong acids, bases, salts, buffers, metabolic acidosis and alkalosis, respiratory acidosis and alkalosis
• Radioactive nuclei, radioisotopes, nuclear reactions, half-life, effects of radiation on health, radiation units including biological units rad, gray, rem, medical imaging, medical use of radioisotopes

• Moles and chemical formulas
• Chemical reactions and equations
• Gas laws (PV and VT relationships)
• Ionic solutions and electrolytes (IV fluids, Ringer’s, Pedialyte etc.)
• Osmosis, dialysis
• Hemodialysis, filtration
• Molecular geometry and bonding
• pH part I: Measuring pH and properties of Buffers
• Design an experiment: creation of IV fluids for specific diseases
• Shielding from nuclear radiation

CH 2251 - Organic Chemistry for Life Sciences

• Name and draw structural formulas of organic compounds, describe bonding and isomerism, identify functional groups, conformations, properties of alkanes, alkenes, alkynes
• Describe aromatic compounds and benzene structure, properties, and uses
• Classify alcohols, phenols, thiols and ethers, identify alcohol groups biological molecules, describe hydrogen bonding, chemical properties of alcohols
• Describe physical and chemical properties of aldehydes and ketones, industrial and biologically important aldehydes and ketones
• Describe physical and chemical properties of carboxylic acids and esters
• Classify amines and assign names, recognize key reactions, names amines as neurotransmitters, give uses of specific biological amines like epinephrine, amphetamines and alkaloids
• Name amides, show hydrogen bonding, give products of acid and base hydrolysis, make connection with biological amides in peptides and proteins
• Learn classes of amino acids
• Learn chemical structure of proteins
• Learn chemical structure of nucleic acids
• Learn chemical structure of carbohydrates
• Learn chemical structure of lipids

• Classes of chemical bonds
• Organic and inorganic compounds
• Electronegativity and bond polarity
• Shapes of molecules
• Intermolecular forces
• Chemical equation stoichiometry
• Solutes and solvents-polar and non-polar
• Solubility of substances in polar and non-polar solvents

• Organic and inorganic compounds comparison, nomenclature of alkanes, alkenes and alkynes, isomerism, conformations, physical and chemical properties, polymers of alkenes (5 classes)
• Aromatic compounds, benzene derivatives, properties and uses (1 class)
• Naming and classifying alcohols, physical properties, reactions of alcohols. phenols, ether, thiol their biochemical importance, ether anesthetics (2 classes)
• Naming aldehydes and ketones, physical properties, chemical properties: oxidation, hydrogenation, hemi-acetal. important aldehydes and ketones, chiral molecules, Fischer projections (3 classes)
• Naming carboxylic acids and esters, physical properties, reactions of carboxylic acids and esters, alpha hydroxacids (3 classes)
• Name amine and amides, physical and chemical properties, biological important amines (3 classes)
• Classes of amino acids based on its chemistry-polar, non-polar, charged, reactions of amino acids (2 classes)
• Structural levels of proteins-primary, secondary, tertiary and quaternary (2 classes)
• Structure of nucleic acid bases, nucleotides, phosphodiester bond, DNA and RNA (2 classes)
• Structural classes of carbohydrates-mono, di-, polysaccharides, glycoside bond (2 classes)
• Classes of lipids-nonpolar triacylglycerol, polar phospholipids (2 classes)
• Exams (3 classes)

• Organic techniques I
• Organic techniques II
• Reactions of unsaturated hydrocarbons
• Alcohols & phenols
• Aldehydes and ketones
• Carboxylic acids and ester
• Aspirin synthesis & testing aspirin products
• Amino acid structure
• Carbohydrate structure

CH 2261 - Biochemistry for Life Sciences

• Learn functions of amino acids, peptides, relate the primary, secondary, tertiary, quaternary structures of proteins to function, protein hydrolysis and denaturation
• Relate the chemical structures of carbohydrates to respective functions
• Relate the different kinds of lipids to their respective physiological functions
• Describe enzymes and how they work, factors affecting enzyme activity, explain enzyme inhibition, describe regulation of enzymes, recognize importance of enzymes in diseases
• Identify nucleotides, describe structure of DNA, outline replication process, describe transcription and translation, explain how genetic code functions, describe mutations
• Describe nutritional requirements, vitamins and minerals, outline stages of metabolism, role of ATP, coenzymes, describe metabolism of glucose in details, hormonal control of metabolism
• Outline fat metabolism, describe conditions of ketonemia, ketonuria, ketosis, ketoacidosis
• Learn the biochemical basis of diseases, biochemical markers and treatment

• Isomerism
• Naming organic compounds
• Identify various organic functional groups
• Chemical structure and classes of amino acids
• Chemical structure of nucleic acids
• Chemical structure and classes of carbohydrates
• Chemical structure of lipids

• Enzyme nomenclature, enzyme co-factors, mechanism of enzyme action, factors affecting enzyme action, enzyme inhibition, enzyme regulation, medical applications of enzymes (3 classes)
• Function of DNA and RNA, DNA replication, transcription, translation, genetic code, mutations (4 classes)
• Nutritional requirements, macro and micronutrients, catabolism of food, ATP, coenzymes, blood glucose, glycolysis, citric acid cycle, oxidative phosphorylation, glycogen metabolism, hormonal regulation (5 classes)
• Blood lipids, beta oxidation of fatty acids, ketone bodies and pathological conditions that cause their overproduction (2 classes)
• Biochemical explanations and diagnosis of diseases including diabetes, myocardial infarctions, hepatic and nephrotic damage (2 classes)
• Action of pharmaceuticals such as dopamine, serotonin, oxytocin and PGE2 (1 class)
• Exams (3 classes)

• Experiment #1: Vitamins         
• Experiment #2: Enzymes         
• Experiment #3: Peptides and Proteins   
• Experiment #4: DNA components & Extraction
• Experiment #5: Tests for carbohydrates            
• Experiment #6: Lipids  
• Experiment #7: Kidney function test-Determination of serum & urine creatinine          
• Experiment # 8: Serum Lactate Dehydrogenase as disease marker          
• Experiment #9: Analysis of Urine- a simulation

CH 3020 - Food Chemistry

• Describe how solutions, colloids and suspensions affect food preparation and taste
• Discuss the importance of water to properties of food
• Compare food preparation methods to taste, appearance and nutrition
• Recognize common food components such as carbohydrates, lipids, proteins, enzymes, water, vitamins and minerals and their significance to food
• Recognize common chemical reactions of food and their purpose to food preparation, nutrition and taste; describe common oxidation-reduction reactions, acid-base reactions and crystallization reactions used in food preparation
• Discuss the chemistry of common food additives and recommend appropriate suggestion to replace common allergens
• Compare and contrast desired microbial life benefits to the growth of harmful bacteria and fungi in food preparation
• Describe the molecular structure of common groups of molecules in food and the significance of molecular structure to properties

• Chemical components of food; carbohydrates, lipids, proteins, enzymes, water vitamins and minerals (7 class periods)
• Chemical reaction of food and cooking (5 class periods)
• Structure and functional relationships of common molecules (5 class periods)
• Acids and bases (3 class periods)
• Emulsions, solutions, suspensions, gels and foams (3 class periods)
• Heating strategies for food preparation (4 class periods)
• Food preservation (3 class periods)

CH 3650 - Materials Chemistry

• Provide and explain examples of properties that change depending on the scale such as nanoscale, microscale or macroscale
• Determine a material’s chemical formula from either layer diagram or model of a crystalline structure
• Calculate the packing efficiency for a given crystalline structure
• Identify and describe packing, coordination geometry, coordination number for the basic types of crystalline structures
• Describe tools and data obtained from structural determination methods
• Explain the function, properties and applications of liquid crystalline materials
• Identify and describe the structure and properties of several polymers
• Compare and contrast the different types of magnetism
• Relate the conductivity of materials to their elemental components
• Explain with multiple examples the relationship between atomic structure and physical properties using common, commercial, and new technological materials
• Understand and predict corrosion
• Distinguish and categorize the major types of solids

• None 

• Types of solids
• Crystalline materials
• Conductivity of materials
• Magnetism
• Elemental composition of materials
• Corrosion
• Structural determination of solids
• Bulk properties of materials at macroscale, microscale and nanoscale
• Polymers
• Liquid crystals

• Microfluidic nanofilter (4 sessions)
• Crystalline materials
• Liquid crystals
• Nanoparticle synthesis
• Nanowire synthesis
• Luminescent materials

CH 3660 - Surface Properties of Materials

• Understand the fundamental physics and chemistry driving the phenomena that occur at the gas-solid interface
• Use reciprocal space notation to describe surface morphology and properties
• Understand the principles of operation of modern heterogeneous catalysts
• Understand the principles of operation of fuel cells
• Have a solid knowledge on how chemical modification relates to tribological properties of surfaces

• Chemical bonds and chemical bond formation
• Physics of the solid state
• Intermolecular forces

• Electronic structure of metal and metal-oxide surfaces
• Surface description using reciprocal space notation
• Modern techniques for surface characterization - AES, XPS, SPM, RAIRS, Raman
• Physisorption and adsorption
• Interaction of molecules with solid surfaces and surface chemical reactions
• Heterogeneous catalysis
• Fuel cells
• Tribology and nanotribology

CH 3670 - Polymer Chemistry

• Identify structures of polymers
• Understand and identify different types of naturally occurring and inorganic polymer
• Differentiate different types of average molecular weight and characterize and determine molecular weight of polymers
• Understand the mechanisms of step-growth, chain-growth polymerization, and copolymerization
• Discuss the methods for polymer testing and characterization, and interpret testing and characterization data

• Properties of matter
• Atomic structure
• Chemical bonding and intermolecular forces
• Solutions, molarity

• Introductions to polymers
• Polymer structure
• Molecular weight of polymers
• Naturally occurring polymers
• Step-reaction polymerization
• Free-radical chain polymerization
• Copolymerization
• Inorganic and organometallic polymers
• Polymer characterization & testing
• Additives
• Polymer technology

CM 250 - Construction Jobsite Management and Leadership

• Understand and apply basic strategies in business communication, both orally and in written form, that are common in the construction industry
• Understand and apply basic strategies for construction recordkeeping
• Understand and develop proper shop drawings and RFI’s for a construction project
• Develop a jobsite layout and logistics plan
• Understand and apply leadership strategies
• Understand and apply principles in quality assurance and quality control on a construction project
• Understand the ethical issues that a construction manager faces and apply ethical standards to solve problems

• Construction methods

• Roles and responsibilities of the site superintendent
• Project delivery methods
• Shop Drawings
• Submittals
• Electronic recordkeeping in construction (Plan Grid software)
• Construction meeting minutes
• Jobsite layout and control
• Leadership attributes
• Motivation strategies
• Oral communication on the jobsite

CM 2121 - Surveying

• Develop a working knowledge of surveying equipment and techniques required to do basic construction layout
• Understand the care and handling of equipment
• Know how to set up and operate a transit
• Understand horizontal distances taping and EDM
• Understand horizontal angles, reading, recording, and repetition
• Understand horizontal curve theory and practice
• Understand topography
• Understand construction layout, distances and angles, and error tolerance
• Understand the basics of U.S. federal land system, deeds, and descriptions
• Understand differential leveling, theory and practice
• Understand traverses, closed polygon; measuring calculations and layout
• Understand how to set up and operate a total station
• Understand how to set up and operate a GPS unit

• Trigonometry
• Basic algebra

• Introduction to surveying: measuring horizontal distances; pacing, and using a cloth and steel tape
• Leveling: setting up and operating the transit as a level, reading and calculating elevations
• Measuring horizontal angles: setting up and operating the transit
• Traversing: measuring, mathematically closing and setting a traverse in the field
• Horizontal curves: computing and laying out a horizontal curve
• Earthwork volume computations: measuring earthwork quantities by x-sectioning
• Topographic surveying discussion
• Boundary survey principles and construction staking techniques will be discussed in class and a complex construction layout will be performed in the field
• Coordinate systems and construction layout techniques
• Equipment calibration and state of the art equipment discussion and demonstrations
• Global positioning systems

• Leveling the instrument over a point
• Taping a distance
• Angular measurement
• Measuring a traverse: angles
• Differential leveling
• Laying out a traverse (using week 4 data)
• Horizontal curves
• Construction layout of a building
• Construction layout of storm sewer offset from curve
• Inclement weather activity: traverse and curve calculations

CM 2200 - Building Construction Methods

• Demonstrate working knowledge of how the CSI MasterFormat organizes information about building materials and components for site, concrete, masonry, metals and wood
• Demonstrate working knowledge of how material properties and applications affect construction activities
• Demonstrate working knowledge of building materials assembly to develop design details for the effective application of materials and components
• Demonstrate working knowledge of graphical techniques used to depict information on drawings
• Demonstrate working knowledge of common building construction means, methods, and processes
• Demonstrate the requirements for effective team leadership, teamwork, and collective effort
• Apply the concepts on how to think and analyze problems, not just what to think

• Construction materials

• Site organization
• Safety imperatives
• Logistical concerns
• General building construction sequence
• Plan reading
• Soils and foundations
• Equipment production formula
• OSHA sloping criteria
• USCS classification and properties
• Portland cement
• Cast-in-place and pre-cast concrete
• Pre-tensioned and post-tensioned concrete
• Forms and forming systems
• Concrete reinforcement
• Concrete placing methods
• Concrete joints, finishing and curing
• Masonry
• Properties of units and motor
• Masonry laying methods
• Masonry bonding and jointing
• Structural steel
• Steel erection and fastening methods
• Wood framing
• Wood erection and fastening methods
• Typical construction sequence

CM 2300 - Building Construction Methods II

• Demonstrate working knowledge of interior construction methods
• Identify and define the various types of doors and windows in a building
• Identify and define the various types of interior finishes in a building
• Understand the tools and methods used to construct interior finishes in a building
• Understand the sequence of events on how to construct a commercial building
• Develop a generic schedule of events on interior construction sequences

• Basic building construction methods

• Wood products
• Thermal insulation
• Vapor barriers
• Bonding agents, sealers and sealants
• Bituminous materials
• Roofing systems
• Exterior doors and windows
• Interior doors
• Entrances and storefronts
• Cladding systems
• Drywall and paint
• Interior walls, partitions and ceilings
• Flooring systems
• Acoustical materials
• Finish carpentry, cabinetry
• Interior finishes

CM 3013 - Construction Project Financial and Cost Control

• Without reference, the student can explain the information flow between cost control and other commonly interacting construction project disciplines
• Without reference, the student can describe and track the steps in the transmission of typical job site labor, materials, equipment cost data, through typical project performance reports, to its effect on company financial reports
• Given the required course materials, the student can devise and apply a suitable work breakdown structure for a building construction project of modest scope
• Without reference except for appropriate project status reports, the student can perform an accurate earned value analysis and cite possible causes of performance variances and actionable remedies for unacceptable performance of a typical construction project
• Without reference, the student can cite multiple special concerns and techniques for controlling various types of direct and indirect project costs
• Without reference, the student can state and explain the significance of at least three ethical imperatives for construction cost engineers

• None

• Construction and cost accounting practices and procedures
• Construction cost engineering to include forecasting and revenue projections
• Earned value analysis
• Work Breakdown Structure (WBS)
• Jobsite labor and performance reporting
• Direct and indirect cost reporting

CM 3024 - Construction Law

• Analyze elemental construction project or general business disputes and recommend legally sufficient and proper routine administrative processes in the context of appropriate risk management and ethical behavior
• Explain the different types and the general provisions and structure of construction contracts, including identifying the parties and their respective roles and duties
• Explain fundamental aspects of the regulatory environment and professional licensing
• Explain fundamental aspects of lien law and the contractor’s rights and remedies
• Explain fundamental provisions of national and local labor law
• Explain general administrative procedures by which to avoid disputes and litigation
• Identify ethical issues arising in professional practice, and apply ethical standards to determine an appropriate course of action
• Describe common claims and defenses to liability applicable to Owners, Contractors, and Design Professionals
• Discuss the public policy implications of important federal legislation impacting engineering and construction practice

• None

• American legal system
• Business associations
• Construction contracts
• Role play exercises
• Exams and exam review
• Professional responsibilities
• Torts
• Land use controls
• Payment provisions
• Change orders
• Subsurface and unforeseen conditions
• Subcontracting process
• Claims and defenses to claims
• Risk management 
• Construction labor law
• Arbitration and alternative dispute resolution methods
• Current trends

CM 3112 - Building Environmental and Mechanical Systems for CM

• Understand the principles of HVAC and plumbing to make a safe and healthy building environment
• Effectively balance mechanical criteria in order to select an optimal mechanical system
• Develop accurate take-offs and estimates of mechanical systems
• Describe the pros and cons of different types of mechanical systems
• Identify and define different components of a mechanical system
• Develop a schedule that incorporates mechanical systems into a schedule of a General Contractor

• None 

• Reading mechanical plans
• Heating systems
• Cooling systems
• Ventilation systems
• Ductwork
• Indoor air quality
• HVAC take-off and estimating
• Commissioning
• DWV systems
• Domestic water systems
• Storm water systems
• Fire protection systems

CM 3210 - Construction Scheduling

• Without reference, the student can describe at least one advantage and disadvantage for each of the following: the Gantt chart, CPM AoA, CPM AoN, CPM PDM, linear activity schedule, and PERT
• Given the contract documents for a building construction project of moderate scope ($3 to $5 million), as well as a detailed (Level 4) copy of the CSI UniFormat and MasterFormat, the student can disaggregate the work to define an appropriate set of activities that includes pre-construction tasks
• Given an array of appropriate construction project activities, the student can logically constrain and sequence the activities to create a coherent project network
• Given an array of appropriate construction project activities, the student can estimate their respective durations, based on available resources and work quantity takeoffs
• Given a logic network of construction activities, their respective durations, and the unconstrained resources to be applied against each activity, the student can perform a forward and backward pass to establish the project duration, determine the critical path(s), and schedule the early start of each activity all without additional references
• Given a construction project early start schedule prepared with unconstrained resources, without additional references, the student can level the schedule if any resources become constrained
• Given necessary crash-cost curves, the student can optimize the resources to be applied, in order to deliver the project at least total cost
• Given a logic network and the activities, shortest expected, most probable, and longest expected durations, students can perform a PERT analysis with only normal probability tables and the variance formula as references
• Given the contract documents for a building construction project of moderate scope ($3 to $5 million), as well as a task list with assigned resources, durations, and precedences, students can correctly load a standard scheduling software package to obtain an accurate activity schedule and typical reports

• Some course topics related to scheduling are briefly introduced in CM 3011, and pre-construction activities are introduced, as well. Calculation of activity durations relies on knowledge of detailed production estimating.

• Construction planning vs. scheduling
• Types of construction schedules (Gantt, CPM, AoA, AoN, PDM, PERT)
• Event time calculations
• Logic types
• Dummy activities
• Work Breakdown Structure (WBS)
• Activity duration determination
• Time vs. cost
• Forward and backward passes
• Critical path and its significance
• Float or slack
• Resource leveling
• AoN networks
• PDM networks and lag
• Scheduling pre-construction activities
• Linear activity scheduling
• Program Evaluation and Review Technique (PERT)
• Project control issues (linked to CM 3013 )

• Gantt chart preparation
• AoA network preparation
• Early start schedule preparation and resource summary
• AoN network preparation
• Scheduling software capabilities and applications

CM 3250 - Construction Estimating

• Construction methods

CM 3417 - Construction Equipment Management

• Develop a working knowledge of common building construction equipment types and operations
• Develop a working knowledge of project- and enterprise-level equipment management concerns
• Develop a working knowledge of internal rental rate and production unit-cost calculations
• Develop a working knowledge of equipment maintenance management imperatives and techniques
• Develop a working knowledge of equipment cost estimating and scheduling techniques
• Develop a working knowledge of equipment selection based on the type and amount of work to be accomplished

• Time-value of money
• Common construction methods
• Soil properties

• Internal rental rate
• Buy-lease-rent and repair-replace decisions
• Maintenance management
• Equipment application sequences for common excavation and lifting requirements

CM 3612 - Building Electrical and Communication Systems for CM

• Understand the basic principles of electrical power systems in buildings
• Understand the basic principles of lighting systems in buildings
• Develop basic calculations for power loads in a building
• Identify and define the different components of an electrical system
• Develop take-offs and estimates for electrical systems in buildings
• Develop a schedule that incorporates electrical systems into a schedule for a general contractor

• None

• Physics of electricity and magnetism
• Basic power loads and calculations
• Basic lighting loads and calculations
• Electrical quantities
• Voltage systems
• Electrical distribution and grounding systems
• Specifications, shop drawings and submittals for electrical
• Low voltage systems
• Lighting sources and fixtures
• Basic estimating for electrical systems
• Code issues for electrical
• Ethics for subcontractors
• Sustainability for electrical

• Physics of electricity
• Physics of magnetism
• Power load calculations
• Lighting load calculations
• Basic wiring lab
• Tour of generic facility
• Power systems take-off and estimating
• Lighting systems take-off and estimating
• Shop drawings and submittals
• Tour of MSOE Kern Center

CM 4311 - Construction Project Management I

• Develop working knowledge of electronic project administration, to include project management software applications
• Develop working knowledge of modifying a standard design-build contract to better meet the needs of the project
• Develop a working knowledge of how best to respond to a request for proposal (RFP) or a request for qualifications (RFQ)
• Develop working knowledge of preparing a project information management plan for a client
• Develop a working knowledge of documentation typically required to administer construction phase operations, to include preparation of clear, concise, and complete records, reports, correspondence, and submittals
• Develop a working knowledge of suitable scheduling, attendees, and content for meetings typically needed to properly administer construction phase operations

• Elements of the total construction project cycle and processes
• Risk management, project delivery methods, and contracts
• Roles and responsibilities of typical project team members
• Value engineering and constructability in the design process
• Project planning process, scheduling, and the role of estimating
• Information management and documentation principles
• Construction project record keeping and controls
• Quality in the constructed project
• Safety management
• Partnering, contract enforcement and dispute resolution
• Project closeout

• Electronic project administration
• Meetings and negotiations
• Project reports and records
• Preconstruction operations
• Construction operations

• Prepare a written response to RFQ
• Prepare a written response to RFP
• Supplement a standard design-build contract for a set of notional project circumstances and requirements
• Electronic project administration
• Meeting organization and execution
• Start a Project Management Plan

CM 4321 - Construction Project Management II

• Develop a working knowledge of applying construction project planning principles to a particular site and specific contract documents
• Develop a working knowledge of possible ethical dilemmas that can erupt during construction operations and how they should be solved
• Reinforce knowledge of detailed estimating, bidding, and scheduling, as will be required for CM 4731  CM Senior Project III
• Develop a working knowledge of construction contract modification administration and control

• Electronic project administration
• Meetings and negotiations
• Project reports and records
• Preconstruction operations
• Construction operations

• Planning for construction
• Detailed construction estimating procedures
• Construction scheduling procedures
• Changes and extra work
• Ethical dilemmas in construction

• Development and application of a suitable detailed work breakdown structure (WBS), using the CSI UniFormat and MasterFormat
• Detailed construction estimating procedures
• Construction scheduling procedures

CM 4512 - Construction Safety Management

• Develop a working knowledge of OSHA standards pertaining to common building construction operations
• Develop a working knowledge of project- and enterprise-level safety management concerns
• Develop a working knowledge of how safety costs affect the construction estimate
• Develop a working knowledge of safety responsibilities on the site as they are spelled out in the contracts
• Earn certification and acquire an OSHA 30-hour training card

• None 

• The OSHA Act and how it pertains to construction
• Personal protective equipment
• Hazard communication
• Excavation safety
• Fall protection
• Scaffold and ladder safety
• Material and tool safety
• Setting up a safety program
• Safety, insurance and the contract

CM 4712 - Architectural Engineering and Construction Management Design-Build Senior Project I

• Formulate the space requirements of a building based on client interviews and research
• Generate appropriate plans based on the required spatial relationships
• Identify appropriate LEED and sustainable design features
• Determine appropriate Building Code regulations that apply to their project
• Analyze budget constraints
• Research appropriate building type examples for their project
• Facilitate team organization and team building

• Speech
• Sketching ability
• Architectural graphic skills
• Understanding of all building systems
• Building type and associated construction costs

• Team building
• Design Build Delivery System
• Programming
• Space analysis
• Research and data collection
• Commissioning
• Value engineering
• Interviewing
• Building Code review
• Conceptual estimating

CM 4721 - Architectural Engineering and Construction Management Design-Build Senior Project II

• Understand how to develop a conceptual estimate from the client program
• Understand the element of a preconstruction schedule
• Understand how to assemble a project pro forma
• Understand how to develop a Management Information Systems (MIS) plan
• Understand the key steps in the value engineering and constructability analysis of the project design

• None 

• Estimating
• Scheduling
• MIS
• Value engineering
• Constructability
• Pro forma and project financing feasibility
• Presentations
• Model building

CM 4731 - Architectural Engineering and Construction Management Design-Build Senior Project III

• Design and develop a detailed estimate from the project drawings
• Design and develop a detailed project schedule
• Design and develop a site-specific safety process
• Design and develop a quality assurance/quality control process
• Understand the key steps in the value engineering and constructability analysis of the project design
• Present the project plan in both written and oral form to a jury of outside industry professionals

• None 

• Estimating 
• Scheduling
• Site logistics plans
• General conditions
• Quality assurance
• Quality control
• Manpower loading and analysis
• BIM clash detection

CM 4980 - Special Topics in Construction Management

• Varies depending on topics

• Varies depending on topics

• Varies depending on topics

CM 5020 - Project Acquisitions and Business Development

• Understand and identify the project acquisition process
• Identify projects for acquisition using a go-no-go matrix
• Develop a prequalification submittal
• Identify their company’s competitive advantage
• Generate a planning process for estimating
• Produce proposals using current marketing strategies
• Identify risk in evaluating construction contracts
• Present their project proposals in both written and oral form
• Develop a handoff meeting agenda and understand how the handoff meeting functions

• Construction methods
• Construction project management
• Construction estimating

• Project acquisition process
• Requests for proposal
• Prequalification packets
• Determining your competitive advantage
• Identifying clients and their decision-making process
• Legal issues in acquisition
• Written proposal strategies
• Bidding strategies
• Handoff meetings
• Documentation and tracking strategies
• Presentation techniques

CM 5040 - Construction Operations and Management Strategies

• Understand basic strategies for starting a construction company
• Effectively manage and control the marketing aspect of a construction company
• Manage, control, and utilize the financial aspects and controls of a construction company
• Understand and manage the operations component of a construction company
• Manage all risks associated with running a construction company, including safety issues
• Understand the human resources component of a construction company

• Construction methods
• Construction project management

• The business of contracting
• Construction company process analysis and improvement
• Starting a new company
• The acquire work process
• The build work process
• Controlling the marketing process
• Controlling the operations aspect of the business
• Differing methods in securing work in good and bad economies
• The keep track process
• Managing the financials of a construction firm
• Job cost guidelines for a construction firm
• Managing people in construction
• Best practices in management
• Human resources in construction
• Desired attributes of a construction company’s personnel
• Future directions of the construction industry

CM 5045 - Lean Construction and Resource Management

• Understand the key elements of construction management as it relates to lean production and lean construction practices
• Critically evaluate alternative approaches to resource and knowledge management in construction management
• Critically evaluate alternative approaches to project delivery in construction management

• Construction methods
• Construction project management

• Lean construction
• Lean construction’s connection to IPD
• Lean construction’s connection to BIM
• Construction knowledge management 
• Modern construction practices
• Waste management
• Recycling in construction

CM 5520 - 21st Century Leadership in Construction

• Describe and observe various leadership trait theories
• Understand theories of human motivation
• Practice situational leadership
• Gain knowledge of communication strategies and time management
• Apply Choosing by Advantages for making decisions
• Read and analyze corporate financial statements

• None

• Definition of leadership and how it differs from management
• Starting with why and understanding the power of vision casting
• Leadership trait theories
• Covey’s 7 Habits of Highly Successful People
• Writing a personal mission statement
• Discovering your personal communication style and how to interact with others
• Motivational theories of Maslow, Herzberg and Deming
• Understanding of servant leadership
• Communication strategies and handling crucial conversations
• Time management techniques
• Choosing by advantages for sound decision making
• Presentation skill enhancement
• Understanding financial statements

CM 7005 - Sustainable Built Environment

• Become familiar with many worldwide as well as national green programs
• Understand how meeting various goals and certifications in the green world contributes to the advancement of society and the wellbeing of our world
• Understand and manage the green efforts in both the design and construction industries
• Isolate and determine costs associated with building green projects
• Educate others in the construction industry as to green issues

• Construction methods
• Construction project management
• Sustainable construction
• Construction estimating

• Greening of the construction industry
• International, national, and local green programs
• Project strategies to achieve LEED design
• Green management plan
• Green product standards
• Ongoing green building operations
• Life Cycle costs
• Green contract issues
• Costs of green construction
• Sustainability and BIM
• Selling green services
• Green marketing
• Industrial ecology

CM 7050 - Construction Data and Information Management

• Understand the increased importance of data and information management techniques in construction management practices and the basic concepts and theories concerning the use of information technology
• Apply the knowledge and skills to critically evaluate alternative approaches for using information technology for construction management
• Use hands-on experience in the use of a well-known and widely used information technologies

• Construction project management
• Building information modeling

• Interoperability
• IT for construction
• IT for facility management
• Building Information Modeling (BIM)
• Integrated Project Delivery (IPD)

CS 421 - Advanced Computer Graphics

• Understand and apply 3-D graphics algorithms related to transformations, illumination, texturing, etc. with the aid of software libraries
• Understand the issues relevant to computer animation
• Develop interactive applications using 3-D graphics
• Investigate and apply software libraries for 3-D graphics and related software needs

• Basic 2-D and 3-D graphics algorithms and concepts
• Object-oriented language programming

• Tests and reviews
• OpenGL, programmable pipeline, vertex and fragment shaders
• Transformations
• Illumination
• Optimization
• Animation
• Texture
• Shading
• Ray tracing
• Curves
• Fractals

• Software library introduction
• Interactive presentation graphics
• Illumination
• Animation

CS 1011 - Software Development I

• Design and document an algorithmic solution for a given problem statement
• Create and interpret complex expressions that use relational and Boolean operators
• Select the appropriate selection control statement for a given task
• Use while/do-while/for statements to control repetition in algorithmic solutions
• Select the appropriate repetition control statement for a given task
• Translate UML class diagrams into Java code
• Design and implement simple classes
• Design and implement class and object methods
• Use existing Java class libraries
• Design and implement simple Java programs
• Declare and use collections of primitive and object data using arrays
• Declare and use collections of object data using ArrayLists

• None

• Algorithm development
• Arithmetic operations
• String and primitive data types
• Java development basics
• Selection
• Iteration
• Standard Java classes
• Math library
• UML class/sequence diagrams
• OO programming
• Methods and arguments
• Class implementation
• Arrays
• ArrayLists
• Review

• Java development environment
• Conditionals
• Iteration
• Standard Java classes
• Class implementation
• Arrays
• Array lists

CS 1021 - Software Development II

• Explain the rationale for object-oriented design and programming
• Translate UML class and sequence diagrams into Java code
• Apply composition, inheritance, and interfaces
• Distinguish between extending a class (inheritance) and implementing an interface
• Define polymorphism
• Design and implement simple Java classes and packages
• Document the implementation of small software systems
• Make appropriate use of exception handling
• Use classes from the Java standard library to read and write files on disk
• Use the Java API specification (javadoc) to determine correct use of standard library classes

• Selection and iteration statements
• Simple Java programs
• Simple Java classes
• UML class diagrams into Java code
• Arrays and ArrayLists

• Java fundamentals
• GUI
• Event-driven programming
• Aggregation, composition, generalization, and realization in UML class diagrams
• Inheritance and polymorphism
• Interfaces/Abstract classes
• Exception handling
• File I/O

• ArrayLists
• Inheritance
• Interfaces
• GUI
• Event handling
• Exception handling
• File I/O

CS 2040 - Programming in C and C++

3 lecture hours 2 lab hours 4 credits

• Write procedural C programs
• Write procedural and object-oriented C++ programs
• Make use of C++ operator overloading
• Make use of C++ polymorphism, particularly virtual vs. non-virtual methods
• Create and make use of C++ namespaces
• Create and make use of C++ templates
• Make use of the C++ Standard Library
• Make use of C and C++ memory management tools
• Make use of C/C++ compiler pre-processor directives
• Distinguish and make use of argument passing by value, reference, and address
• Discuss how typing systems influence efficiency, readability, and reliability
• Write procedural and object-oriented programs in a scripting language
• Be familiar with functional programming

• Object-oriented programming
• Java
• Data structures

• Procedural, object-oriented programming in a scripting language
• Procedural, object-oriented C++ programming
• Memory management in C++
• Standard Template Library
• Procedural programming in C
• Functional programming concepts

• Scripting languages
• C++
• C

CS 2300 - Computational Science

• Learn and apply the scientific method to data analysis and inference
• Clean and manage data using functional programming libraries such as pandas
• Use matrices and software libraries to structure data for analysis and manipulation
• Manipulate models of real-world problems based on data
• Predict the runtime and memory utilization of algorithms based on complexity analysis methods
• Communicate data interpretations including generating meaningful data visualizations

• None

CS 2400 - Introduction to Artificial Intelligence

• Understand what constitutes artificial intelligence and be able to identify such systems as well as their limitations
• Solve problems, including game play problems, through decision trees and search
• Apply propositional and first-order logic to planning problems
• Train neural networks for classification
• Solve problems using reinforcement Q-learning
• Understand machine learning concepts

• Understand and apply complex data structures and algorithms
• Use appropriate algorithms (and associated data structures) to design and build working software systems
• Understand the use of recursion in problem solving
• Predict the runtime and memory utilization of algorithms based on complexity analysis methods
• An ability to construct Python solutions to programming problems
• Understand and apply mathematical functions, relations, and sets as well as the associated operations
• Ability to form logic proofs using symbolic propositional logic
• Understand and apply symbolic predicate logic

• Introduction to AI, Turing Test, learning
• Decision trees, search, BFS, DFS
• A*, heuristics
• Game playing
• Planning
• Propositional and first-order logic
• Neural networks
• Genetic algorithms
• Reinforcement Q-learning

• Dungeon crawling
• A*
• Game playing
• STRIPS planning
• Implementations of a simple game
• Implementation of a neural network with an application to classification
• Group presentations on additional AI topics

CS 2550 - Concepts of Data Structures and Algorithms

• Select appropriate abstract data type (ADT), data structure, and algorithm for an application
• Use variations of standard data structures and algorithms and understand how changes affect correctness and time complexity
• Introduction into algorithm design
• Quickly determine how efficient an algorithm or data structure will be

• Event-driven programming in a high-level language
• Exception handling
• File I/O
• Arrays
• Interfaces/abstract classes

• Introduction to data structures and algorithms
• The role of algorithms in the problem-solving process
• Divide and conquer problem-solving strategies
• Abstract data types (ADT) including interfaces and inheritance
• Java collections framework and Array based lists
• Computational time complexity
• Computational space complexity
• Introduction to sorting algorithms, insertion sort, bubble sort
• Quick sort
• Queues
• Stacks
• Linked lists
• Hash tables
• Recursion
• Trees, tree traversal, tree implementation strategies
• Breadth-first search (BSF)
• Introduction to graphs
• Graph algorithms and implementation strategies
• Strategies for choosing and implementing the right data structure, algorithm
• Comparison and analysis of existing resources

• Problem solving with algorithms
• Java Collections for reading, sorting, and displaying data
• Algorithmic analysis and benchmarking - mystery sort
• Design and analysis of ADTs, data structures, and algorithms for sorting applications
• Linked lists, stacks, queues, and hash tables comparison and analysis
• Tree traversal and search application
• Graph-based representation and search of biological data

CS 2711 - Computer Organization

• Use Boolean algebra to simplify logic statements
• Construct simple combinatorial and sequential logic designs to solve basic problems
• Understand the relationship between input, output, memory, the processor, the data path, and the control path within a computer
• Explain how signed and unsigned numbers and floating point numbers are represented within a computer
• Perform signed, unsigned, and floating point mathematical operations, including addition, subtraction, multiplication, and division
• Explain the memory hierarchy within a computer and quantify its impact on computer performance
• Explain how variables are allocated in memory and the relationship between variables and pointers
• Compute performance related metrics for a computer-based system or implemented program
• Critique the design and implementation of a processor based upon design parameters
• Write simple assembly language routines using MIPS assembly language

• Simple procedural programming
• Primitive data types and sizes
• Fundamental understanding of arrays

• Truth tables
• Boolean algebra
• Circuit design
• Karnaugh maps
• Computer parts
• Electrical power
• Computing performance
• Computer operations
• Signed and unsigned numbers
• Representing programs in memory
• Logical operations
• Procedures and functions
• Communicating with users
• Exam review
• Midterm exam
• Adders and subtractors
• Comparators
• Addition and subtraction
• Multiplication
• Division
• Floating point numbers
• Latches, flip-flops, and registers
• The processor
• Datapath design
• Pipelining
• Branch prediction
• Memory technology
• Caching
• Caching performance
• Multicore introduction / emerging topics

CS 2852 - Data Structures

• Understand and apply complex data structures and algorithms
• Use appropriate algorithms (and associated data structures) to solve problems
• Have a thorough understanding of commonly used library data structures
• Analyze the time complexity of algorithms
• Understand the use of recursion in problem solving
• Use data structures in software design and implementation
• Apply standard library data structures in software design
• Select appropriate data structures for a given application

• Java GUI
• Event-driven programming
• Exception handling
• File I/O
• ArrayList
• Interfaces/abstract classes

• Introduction
• Java collections framework
• Array based lists
• Iterators
• Deep vs Shallow Copies
• Linked lists
• Asymptotic algorithm analysis
• Stacks and queues
• Recursion
• Generics
• Trees
• Binary search trees
• Insertion sort
• TreeMap and TreeSet
• Hash tables
• HashMap and HashSet
• Review

• Benchmarking
• Algorthim analysis
• ArrayList/linked lists
• Recursive algorithms
• Stack/queue
• Tree
• Hash table

CS 2911 - Network Protocols

• Encode and decode binary and hexadecimal numbers
• Understand what a network protocol is and how it is specified
• Describe the purpose and operation of key application and transport protocols, including HTTP, POP, IMAP, SMTP, DNS, UDP, and TCP
• Describe the operation of the network layer and IP protocol.
• Describe network security concepts, security threats, and risks related to security breaches
• Describe important uses of cryptography in network security
• Write applications using socket connections
• Design procedural algorithms requiring several helper methods
• Design and implement a simple web server and email client
• Implement and break RSA public-key encryption and a public-key-signing infrastructure
• Use a monitoring tool to view and interpret network communication

• Ability to design and implement small-scale software components and system

• Introduction to networking terminology, layering, and basic concepts
• Binary and hexadecimal number systems
• Python
• Procedural design
• Network applications 
• HTTP, SMTP, and DNS protocols
• Socket programming
• Transport layer, UDP and TCP protocols
• Network layer, packet switching, datagrams
• Link layer, Ethernet
• Network security, cryptography, SSL/TLS protocols, public key infrastructure

• Network monitoring tool use
• Network communication using socket connections
• Design and implementation of software using web and email protocols
• Implement and break example encryption algorithms and infrastructures

CS 3040 - Programming Languages and Translators

• Specify regular and context free languages
• Write moderately sized programs in Haskell
• Apply regular expressions to construct programming language tokenizers
• Use recursive descent and parser generators to build parsers, interpreters, and translators for simple languages
• Give a formal specification of a type system and compare various systems
• Construct an operational semantics for a simple programming language
• Discuss storage and data management, including binding, scope, lifetime, and automated garbage collection
• Build a domain-specific language along with tools to process that language

• Procedural and object-oriented programming in a scripting language
• Procedural and object-oriented programming in C and C++
• The impact of typing systems on efficiency, readability, and reliability

• Implementing a recognizer for a small domain-specific language
• Regular expressions and their translation to finite state machines
• Constructing an abstract syntax tree
• Interpreting and compiling simple computer programs
• Specifying context-free grammars
• Operational semantics
• Specifying type systems
• Variable binding, scope, lifetime, and storage management
• Functional programming

CS 3210 - Computer Graphics

• Give examples of and discuss computer graphics hardware
• Define and use two-dimensional and three-dimensional graphic object representations
• Apply and appraise several scan-conversion algorithms
• Understand and apply two-dimension and three-dimension transformations
• Discuss and apply concepts of object-oriented programming, inheritance, polymorphism, and event-driven systems
• Describe C++ and STL concepts, including classes and constructors, operator overloading, STL vector class, dynamic memory with new and delete
• Apply data structures to the management of computer graphics entities
• Compile and execute C++ programs on the Linux platform

• Programming in C
• Function pointers
• Designing and writing C functions
• Designing modular applications by use of multiple files

• Overview of computer graphics
• Computer graphics input and output hardware
• Mathematical background
• Lines and line generation
• Polygons and filling
• Two-dimensional transformations
• Windowing and clipping
• Three-dimensional objects
• Three-dimensional transformations
• Projections and depth
• Graphical user interfaces
• Examinations and reviews

• C++ classes
• STL containers
• Scan-conversion
• Event-driven programming
• 2-D Graphics
• 3-D Graphics

CS 3300 - Data Science

• Understand the basic process of data science and exploratory data analysis including modes of inquiry (hypothesis driven, data driven, and methods driven)
• Identify, access, load, and prepare (clean) a data set for a given problem
• Select, apply, and interpret appropriate visual and statistical methods to analyze distributions of individual variables and relationships between pairs of variables
• Communicate findings through generated data visualizations and reports
• Apply and interpret unsupervised learning models for exploratory data analysis
• Generate appropriate supervised learning problem descriptions
• Determine and apply appropriate experimental setup, evaluation metrics, and models for supervised learning problems
• Engineer features for machine learning tasks
• Perform and interpret feature selection to identify relationships between features and predicted variables
• Apply methods to real-world data sets

• Proficiency in at least one programming language
• Familiarity with common data structures (e.g., lists, maps, and sets)
• Familiarity with Python, Pandas, and visualization libraries
• Basic probability and statistics, including statistical testing
• Basic linear algebra

CS 3310 - Data Science Practicum

• Work with a team to identify customer requirements and collaborate on solutions
• Apply data science practices and techniques to analyze extensive data sets
• Develop and evaluate hypotheses for real-world problems
• Communicate project methods and results in written and oral form
• Collaborate with team members through agile practices, versioning systems, and project tracking software
• Discuss principles for effective data visualization and apply those principles to real-world problems
• Apply ethical data collection standards to scenarios and discuss responses

• Experience with data preparation, data analysis, factor analysis, statistical inference, predictive modeling, and data visualization
• Data manipulation and analytics using scripting languages and interactive methods

CS 3400 - Machine Learning

• Understand the basic process of machine learning
• Understand the concepts of learning theory, i.e., what is learnable, bias, variance, overfitting
• Understand the concepts and application of supervised and unsupervised learning
• Analyze and implement basic machine learning algorithms
• Understand the role of optimization in machine learning
• Assess the quality of predictions and inferences
• Apply methods to real world data sets

• Linear algebra
• Derivative calculus

CS 3450 - Deep Learning

• Understand the process of backpropagation and its role in training deep networks
• Compare options for training deep neural networks, for example, optimization methods, generalization methods, normalization, initialization methods
• Apply transfer learning to leverage pre-trained models
• Compare various modern network architectures, for example, convolutional neural networks (CNNs), encoder-decoders, generative adversarial networks (GANs), or transformers. Emphasis on topics can vary depending on the instructor’s specialties
• Evaluate training methods and alternative architectures based on model accuracy, constraints, and training performance
• Apply deep neural networks in the context of real-world applications such as healthcare, object recognition and tracking, natural language processing, and art
• Discuss the ethical implications of deep neural network applications

• An ability to train a machine learning model on a provided dataset using a framework such as Keras or Pytorch
• An ability to assess the quality of a machine learning model
• Understand the concepts and application of supervised and unsupervised learning
• Understand the role of optimization in machine learning
• Understand overfitting
• Be familiar with basic linear algebra such as matrix multiplication
• Be familiar with multivariate calculus such as partial derivatives

CS 3840 - Operating Systems

• Identify the components of operating system process management
• Recognize issues related to concurrent processes and synchronization techniques
• Discuss and illustrate several approaches to operating system memory management
• Analyze the usage of memory management systems experimentally
• Discuss and illustrate commonly used scheduling algorithms
• Describe input/output handling in operating systems
• Illustrate file system interfaces and implementation
• Apply POSIX system calls
• Construct and execute simple shell scripts

• C/C++ programming experience (including memory management, C/C++ compilation model, structures/unions)
• RISC Assembly Language programming

• Course introduction
• Operating systems overview
• Operating systems architecture and design
• Processes
• Context switching
• Interprocess communication
• Threads
• Scheduling
• Synchronization
• Deadlocks
• Swapping
• Virtual memory
• Page replacement algorithms and performance
• File systems introduction
• Access control
• File allocation schemes
• DMA
• Security
• Shell scripting
• Developing OS topics

CS 3841 - Design of Operating Systems

3 lecture hours 2 lab hours 4 credits

• Understand the core concepts and terminology associated with operating systems
• Communicate effectively using proper grammar and technical writing in lab reports and assignments
• Develop and implement programs in C in a hosted environment
• Develop and use dynamic memory in a software application
• Develop and manage concurrency and synchronization in a software application
• Analyze scheduling problems for performance criteria
• Use files in a C-based system in multiple fashions
• Properly comment source code for effective communication

• Proficiency in programming in C, including standard C library functions (character processing, string processing, memory functions, mathematical functions)
• Familiarity with digital logic design, memory organization, processor registers, and interrupt handling mechanisms
• Familiarity with basic data structures, such as arrays, lists, queues, and stacks
• Ability to construct basic data structures, including linked list and queues, in Java
• Familiarity with configuration management tools and disciplined software development
• Ability to debug C source code using an IDE

• C compilation model and building C code
• Operating systems introduction
• Operating systems structure and components
• Virtual machines
• OS processes
• Interprocess communications (shared memory, pipes, sockets, RPC)
• Example OS implementations of major constructs (task switching, synchronization, etc.)
• Threading
• Signal handling
• Scheduling and scheduling algorithms
• Synchronization and critical sections
• Deadlocks and deadlock prevention
• Virtual memory and paging
• File Systems implementation
• Physical devices and hard drive implementation
• Exam review

• Introduction to UNIX system calls, debugging, and developing hosted applications
• Construction of a fundamental data structure in C using dynamic memory
• Construction of UNIX software using high level file system access (fopen, fread, fwrite, etc.) and integrating data structures
• Construction of a software application using multiple processes and interprocess communications
• Construction of a multithreaded software application with appropriate thread synchronization
• Design and implementation of a memory debugging system
• Design and implementation of a dynamic memory manager

CS 3851 - Algorithms

• Compare and contrast formal (e.g., proofs) and empirical (e.g., tests, benchmarks) methods for analyzing algorithms
• Interpret the formal statement of a computational problem
• Identify use of and apply algorithm design techniques such as divide and conquer and dynamic programming
• Construct correctness proofs for algorithms
• Model asymptotic time and space complexity using techniques such as recurrence relations
• Apply asymptotic complexity analysis to choose among competing algorithms
• Implement, test, and benchmark algorithms in software
• Apply algorithms involving graph and tree structures
• Describe the implications of demonstrating that a particular algorithm is NP complete
• List at least three engineering applications of algorithmic design and analysis

• Big-O notation
• Java programming
• Set theory
• Recursion
• Methods of proof
• Graphs
• Trees

• Algorithmic analysis
• Mathematic tools
• Divide and conquer algorithms
• Greedy algorithms
• Dynamic programming algorithms
• Graph algorithms such as breadth-first and depth-first search
• NP completeness

• Algorithmic analysis
• Divide and conquer algorithms (e.g., sorting algorithms), including writing and solving recurrence relations
• Greedy algorithms
• Dynamic programming algorithms
• Graph algorithms
• Independent research presentation

CS 3860 - Database Systems

• Design database models using entity-relationship modeling, relational modeling, and normalization techniques
• Use standard database languages (e.g. SQL) for querying, manipulating, and basic management of databases
• Design relational database applications
• Document database designs
• Describe the purposes and typical mechanisms for maintaining security and confidentiality
• Understand basic database integrity properties of atomicity, concurrency, isolation, and durability
• Understand CAP Theorem concepts of consistency, availability, and partitioning
• Understand and be able to apply transaction processing and integrity constraints
• Understand fundamentals of query processing and query performance optimization
• Be aware of modern trends in the area of database systems

• Understand and apply data structures and algorithms
• Use appropriate algorithms (and associated data structures) to solve complex problems
• Analyze the time complexity of algorithms, both sequential and recursive
• Use data structures in software design and implementation

• Introduction and prerequisite review
• Entity-relationship model and relational model
• Relational model
• SQL
• Functional dependencies, normalization, relational design, and query optimization
• Relational algebra and calculus, data definition and manipulation languages (SQL), aggregates, and updates
• Record storage, index structures, transactions, and concurrency
• Stored procedures, triggers, recovery, security, and database administration
• Advanced database topics

• Database introduction
• Data modeling
• SQL
• Application integration
• Design project design and implementation
• Design project demonstration

CS 4210 - Advanced Computer Graphics

• Understand and apply 3-D graphics algorithms related to transformations, illumination, texturing, etc., with the aid of software libraries
• Understand the issues relevant to computer animation
• Develop interactive applications using 3-D graphics
• Investigate and apply software libraries for 3-D graphics and related software needs

• Basic 2-D and 3-D graphics algorithms and concepts
• Object-oriented language programming

• Tests and reviews
• OpenGL, programmable pipeline, vertex and fragment shaders
• Transformations
• Illumination
• Optimization
• Animation
• Texture
• Shading
• Ray tracing
• Curves
• Fractals
• Student presentations

• Software library introduction
• Interactive presentation graphics
• Illumination
• Animation
• Term project
• Project presentations

CS 4230 - Distributed and Cloud Computing

• Understand the basic concepts, architecture, and programming techniques in parallel and distributed computing environments
• Understand how to select an appropriate distributed system architecture for a given application scenario
• Understand how to design, develop, and deploy a basic distributed application

• None

• Course introduction 
• Introduction to cloud and distributed computing
• Virtual machine monitors
• Autoscaling computing clusters
• Developing and deploying clustered Web applications
• Distributed file systems 
• Non-relational database systems 
• Midterm
• Data intensive processing in large clusters. Google’s MapReduce. Apache’s Hadoop 
• Warehouse scale computing architecture
• Map reduce and DFS applications
• Map reduce and databases 
• Map reduce graph processing and PageRank 
• Distributed retrieval and data mining

• Introduction to Amazon Web Services - Launching an EC2 Machine Instance 
• Creating an Amazon Machine Image (AMI)
• Elastic load balancing and autoscaling
• Deploying a web application
• Non-relational database application
• SimpleDB
• MapReduce
• Final project

CS 4830 - Computer Vision

• Interpret gray-scale and color images encoded as MATLAB arrays
• Implement simple computer vision algorithms by operating on raw pixel values
• Compute projections and back-projections using the pinhole camera model
• Stitch panoramas using homographies and RANSAC
• Interpret machine learning algorithms as partitions of multi-dimensional space
• Implement features and describe their role in vision
• Understand the value of real-world and synthetic testing for computer vision algorithms
• Design and implement a computer vision algorithm

• Matrix multiplication
• Eigenvectors/Eigenvalues
• Procedural programming
• Partial derivatives

CS 4850 - Machine Learning

• Understand the concepts of learning theory, i.e., what is learnable, bias, variance, overfitting
• Understand the concepts and application of supervised, unsupervised, semi-supervised, and reinforcement learning
• Understand the application of learned models to problems in classification, prediction, clustering, regression analysis, time-series, game play, and web-scale data

• Probability and statistics
• Algorithms
• Programming maturity

• Machine learning theory and applications
• Variance, bias, overfitting
• Learning categories:
  • supervised learning
  • unsupervised learning
  • reinforcement learning
• Representative algorithms from each learning category will be covered:
  • gradient descent
  • linear regression
  • logistic regression
  • decision trees
  • clustering
  • support vector machines
  • neural networks for deep learning

• Gradient descent
• Linear regression
• Logistic regression
• Decision trees
• Clustering
• Neural networks for deep learning

CS 4860 - C# and Program Language Design

• Have a better appreciation for the design of programming languages
• Compare and contrast programming language concepts
• Understand the tradeoffs of programming language features
• Develop tools for learning and evaluating programming languages
• Learn C# both as it compares to Java and as it compares with functional programming languages
• Have experience writing one moderately sized program using Microsoft development environments

• Proficiency in a programming language
• Basic threading

• Programming language fundamentals
• C# fundamentals
• Multi-threaded programming
• LINQ and IEnumerable
• IQueryable and expression trees
• Rx
• IObservable

• C# fundamentals
• Language design exploration
• Events
• LINQ
• Asynchronous programming

CS 4881 - Artificial Intelligence

• Demonstrate an understanding of the principles of formal logic including propositional and first order logic
• Conduct proofs of correctness in reasoning systems using the methods of unification and resolution
• Understand the techniques involved with reasoning in the presence of uncertainty
• Address the problems related to search, and its application to intelligent systems, including game playing, decision making, and adversarial search
• Understand and apply modern machine learning techniques for supervised, unsupervised, and reinforcement learning

• A fundamental understanding of structured programming languages
• A fundamental understanding of data structures and algorithms
• A fundamental understanding of probability and statistics

• Problem solving, uninformed search
• A* search and heuristic functions
• Constraint satisfaction
• Game playing
• Logical agents, propositional logic
• Forward chaining, backward chaining, knowledge agents
• First order logic
• Knowledge representation
• Acting under uncertainty, axioms of probability, inference using joint distributions
• Supervised machine learning: Naive Bayes, decision trees, and neural networks
• Unsupervised machine learning: clustering with K-Means, K-Medoids, and hierarchical agglomerative clustering
• Collaborative filtering
• Reinforcement learning
• Data mining
• Concept learning and inductive hypothesis

• History, defining intelligence, grand challenges, biologically inspired computing
• Intelligent agents, uninformed search, informed search
• Knowledge-based agents
• Machine learning

CS 4920 - Information Security

• Discuss the business case and the need for an increased focus on computer security, including types of vulnerabilities (social engineering, insecure libraries, etc.) and how current vulnerabilities are disseminated by the software community
• Analyze computing systems with an awareness of various timely legal issues related to security and privacy
• Choose appropriate security implementation techniques based on secret and public key cryptography, the use of hashing, and other cryptographic principles
• Appraise competing tools for common security practices, such as public key encryption, firewalling, and securing network traffic

• Set algebra
• High-level language/assembly relationship
• OS and system API based design

• Introduction and context
• Cryptography
• Authentication
• Guest Speakers
• Standards
• Tools overview
• x86 stack overruns in C

CS 4980 - Topics in Computer Science

• Varies

• Varies

• Varies

CS 4981 - Topics in Computer Science with Lab

• Varies

• Varies

• Varies

• Varies

CS 4999 - Independent Study

• Engage in independent learning on a specialized topic
• Document research or study results in a technical report

• Varies

• Varies

CV 310 - Water Resources Engineering

• Hydrology
  • Calculate infiltration rates using basic engineering formulas
  • Use an intensity-duration-frequency curve to characterize an observed rainfall or develop a design rainfall depth
  • Calculate runoff using NRCS hydrology and the rational formula
• Closed Channel Hydraulics
  • Calculate flow through pipes factoring with minor losses and diameter changes using the General Energy equation and the Hazen-Williams and Darcy-Weisbach equations
  • Determine operating point of a pumping system with simply networked discharge piping and multiple pumps
  • Calculate flow in multi-path pipeline system using energy loss and continuity equations
  • Apply the impulse-momentum principle to compute thrust at fittings
• Open Channel Hydraulics
  • Calculate uniform, steady state flow in open channels including circular and trapezoidal channel shapes using the Manning equation
  • Utilize a specific energy and force theory to analyze critical depth and hydraulic jumps
  • Calculate flow through standard open channel hydraulic control structures such as weirs and flumes
  • Name flow profiles in open channels with gradually varied flow
  • Calculate flow profiles in open channels with gradually varied flow
  • Relate flow depth to rate in standard open channel hydraulic control structures such as weirs and flumes
• Groundwater
  • Apply Darcy’s Law to compute flow rate in an aquifer in one-dimensional and radial conditions
  • Use a pump test and groundwater flow formulas to determine the hydraulic conductivity of a soil
  • Apply image well theory to assess the impacts of recharge and barrier boundaries

• Ability to apply the general energy equation to the solution of hydraulics problems
• Ability to apply Manning’s equation to the solution of steady, uniform flow problems in open channels
• Familiarity with elementary probability and statistics
• Ability to solve ordinary differential equations

• Hydrology: Hydrologic cycle, infiltration, precipitation, time of concentration, NRCS hydrology, rational method
• Closed channel hydraulics: General Energy equation, Darcy-Weisbach equation, Hazen-Williams equation, minor losses, simple networks, multi-path network analysis, pumping system design, impulse-momentum equation
• Open channel hydraulics: Manning’s equation, steady-uniform flow, supercritical and subcritical flow, gradually varied flow profiles, rapidly varied flow, hydraulic jumps, hydraulic control structures
• Storm water management systems: storage routing, storm sewer design
• Groundwater: Darcy’s law, steady and unsteady 1-D and radial flow in confined and unconfined aquifers, image well theory

• Storm water hydrographs
• Infiltration and soil properties
• Storage routing
• Multipath flow
• Pipe networks
• Determination of Manning’s n
• Flow profiles, gradually and rapidly varied flow
• Steady-state, one-dimensional flow in groundwater
• Radial groundwater flow
• Storm water collection system design

CV 320 - Environmental Engineering

• Calculate pollutant concentrations and loadings in the common units used in environmental engineering
• Solve environmental engineering problems requiring the application of basic physical, chemical, and biological principles
• Perform mass balances on environmental systems
• Identify contaminants of concern that are removed by environmental unit operations and processes
• Design single components or processes of environmental systems using simple “rule-of-thumb” design criteria
• Develop process flow diagrams for simple environmental systems
• Perform a basic risk assessment
• Perform a life-cycle cost assessment

• None 

• Environmental measurements (1 class)
• Historical developments, laws, and regulations (2 classes)
• Chemical processes (3 classes)
• Biological processes (3 classes)
• Physical processes; mass balances (3 classes)
• Risk assessment (3 classes)
• Municipal water treatment (3 classes)
• Municipal wastewater treatment (3 classes)
• Solid waste engineering (3 classes)
• Air resources engineering (3 classes)
• Sustainable engineering: LCCA, LEED v. Envision, case studies (3 classes)
• Wet laboratories: solids, alkalinity, BOD, chemical precipitation (4 labs)
• Dry laboratories: spreadsheet mass balances, solid waste characterization (2 labs)
• Midterm exams (2 labs)
• Guest speaker; final exam review (2 labs)

CV 322 - Environmental Laboratory

• Describe several of the more important water quality parameters used to characterize water quality with respect to potable water and municipal wastewater
• Conduct experiments and analyze and interpret the experimental data to determine values of selected water quality parameters following Standard Methods procedures
• Explain the environmental significance of each of the water quality parameters studied

• None 

• Standard titrimetric solutions (2 classes, 1 lab)
• Acidity and alkalinity (2 classes, 1 lab)
• Ionic strength (2 classes, 1 lab)
• Hardness; saturation index (2 classes, 1 lab)
• Phosphorus (2 classes, 1 lab)
• Nitrogen (2 classes, 1 lab)
• Chlorine (2 classes, 1 lab)
• Dissolved oxygen; BOD (2 classes, 1 lab)
• COD (2 classes, 1 lab)
• Gas chromatography (1 class, 1 lab)
• Final exam review; course evaluations (1 class)

• Lab #1: Preparation of standard solutions for Lab #2
• Lab #2: Acidity and alkalinity of surface and ground waters
• Lab #3: Conductivity and TDS
• Lab #4: Hardness and CaCO3 saturation index
• Lab #5: Phosphorus by titration and colorimetric methods
• Lab #6: Ammonia by distillation and ISE methods
• Lab #7: Chlorine
• Lab #8: DO by Winkler and DO probe; BOD5
• Lab #9: COD
• Lab #10: Gas chromatography (demonstration)

CV 380 - Transportation Engineering

• Have a knowledge of the terms used in transportation engineering and their definitions
• Understand the steps required for a roadway development project
• Understand how vehicle and driver characteristics influence the design of various transportation facilities
• Learn the procedures for horizontal and vertical road alignments
• Be able to relate traffic flow characteristics, including capacity, speed and safety considerations, to the design of roadways
• Be able to perform signal timing analysis
• Understand the transportation needs of persons with mobility disabilities

• None 

CV 415 - Hydraulics

3 lecture hours 2 lab hours 4 credits

• Compute flow profiles in open channels under uniform, gradually varied, and rapidly varied conditions
• Analyze flow through culverts, underflow gates, and overflow gates
• Apply physical model similitude principles in open channel situations
• Analyze unsteady flow in open channels
• Apply HEC-RAS to analyze steady-state, gradually varied flow and rapidly varied flow in natural and manmade open channels

Closed-Conduit Hydraulics

• Apply Reynolds Transport theorem
• Apply dimensional analysis and Buckingham Pi theorem to establish similarity
• Calculate minor losses in complex fittings
• Analyze the performance of an actual pump station with multiple pumps
• Compute hydraulic transient pressures in a force main
• Compute thrust forces due to pressure and changes in momentum at fittings

• None

• None

• Water surface profiles
• Flow through underflow and overflow gates
• Flow through culverts
• Physical modeling of Eagle Spring Lake spillway
• Unsteady flow
• Pump station design drawings and interpretation
• Field trip to underwood Creek Pump Station
• Control of hydraulic transients
• Field trip to Eagle Spring Lake

CV 416 - Analysis and Design of Sewerage Systems

• Develop design discharge rates based upon population forecasts and infiltration and inflow (I/I) rates
• Apply pipe friction and minor loss equations to calculate flow depth and surcharge levels in wastewater collection system (open/closed channel piping)
• Model a wastewater collection system to determine flow rates and surcharge levels for design conditions.
• Identify appropriate appurtenances needed for the proper operation of wastewater collection systems
• Size pumps, force mains and inverted siphons for use in wastewater collection systems
• Identify issues involved with major wastewater pump station designs
• Layout vertical and horizontal alignment of a sanitary sewer
• Design pipes, backfill, and pipe restraint systems to meet applied structural loads
• Identify engineering issues related to wastewater collection system degradation (i.e., investigation techniques, corrosion, loss of available capacity, leakage, alternatives to reduce I/I rates, trenchless rehabilitation options)

• None 

• None

CV 418 - Analysis and Design of Water Distribution Systems

• Develop design water demand based upon population forecasts and historical usage patterns
• Apply pipe friction, minor loss equations, and pump characteristics to calculate pressure and flow in water distribution (closed channel) piping
• Model a water distribution system to determine flow rates and pressures for design conditions
• Select appropriate pipe material and appurtenances needed for the proper operation of water distribution systems
• Size required pumps and water storage facilities for water distribution systems
• Identify surge assessment techniques and mitigation methods
• Select appropriate cross-connection control devices
• Identify key elements of water distribution system master plans
• Describe key issues related to water systems security

• None 

• Introduction
• Water supply and demand
• Hydraulics review
• Structural requirements, line and grade, materials of construction
• Appurtenances, system components, pumping, storage, dual water systems
• Modeling theory, assembly, and hands-on practice
• Guest lecturer and/or field trip
• Master planning and term project
• Testing water distribution systems
• SCADA
• Model calibration
• Water distribution system design
• Optimization techniques
• Modeling customer systems
• Operations
• Water systems security
• Integrating GIS and hydraulic modeling
• Transients
• Hydraulic integrity of system and cross-connection control

CV 420 - Municipal Wastewater Treatment Plant Design

• Characterize wastewater flow rates and mass loadings
• Identify appropriate categorical or water quality-based effluent limitations for wastewater, and application rates for land disposal of biosolids
• Design major unit operations and processes applicable to preliminary, primary, and secondary wastewater treatment, and solids handling, thickening, stabilization, and dewatering
• Prepare a preliminary design report for a new WWTP to include process description, process flow diagram, material balances, and major equipment list

• Introduction to environmental engineering

• Introduction and regulatory requirements
• Wastewater characteristics
• Wastewater characterization for design
• Flow and load equalization
• Mixing, coagulation, flocculation, precipitation
• Preliminary and primary treatment
• Conventional secondary treatment
• Nutrient (N and P) removal
• Anaerobic digestion
• Disinfection
• Solids handling and pumping
• Solids thickening, dewatering, drying, and incineration
• Land application of biosolids

CV 430 - Solid Waste Engineering & Design

• Describe the historical development of solid waste management systems
• Characterize the sources, composition, and engineering properties of typical solid waste streams
• Estimate solid waste generation rates for new developments
• Utilize solid waste data to develop concept plans for waste transfer, landfill, and materials recycling facilities
• Evaluate and design waste transfer, landfill, and materials recovery processing facilities
• Identify the major local, state, and federal laws and regulations governing solid waste management systems in the U.S.
• Describe several chemical, biological, and thermal conversion technologies used in solid waste management systems
• Select the appropriate mix of technologies for solid waste management program development

• None 

CV 500 - Environmental Chemistry

• Understand the principles underlying the chemical transformations that take place in groundwater, surface water, and in water and wastewater treatment processes 
• Apply the principles of water chemistry to the design of selected water/wastewater and soil/groundwater remediation processes 
• Identify the various classes of organic compounds and how organic compounds behave and react in the environment 
• Understand the field and laboratory procedures involved in the sampling and analysis of water and soil samples

• One year of general chemistry required

CV 502 - Environmental Microbiology

• See Graduate Catalog

CV 510 - Storm Water Management Systems Design

• See Graduate Catalog

CV 512 - Geographical Information Systems (GIS)

• See Graduate Catalog

CV 516 - Design of Water Distribution and Sewerage Systems

• See Graduate Catalog

CV 518 - Watercourse Design

• See Graduate Catalog

• Water resources engineering

• See Graduate Catalog

CV 522 - Unit Operations and Processes Laboratory

• See Graduate Catalog

CV 542 - Design of Air Pollution Control Systems

• See Graduate Catalog

CV 550 - Physical Hydrogeology

• See Graduate Catalog

CV 552 - Contaminant Hydrogeology and Groundwater Remediation

• See Graduate Catalog

CV 554 - Ground Water and Soil Remediation Technologies

• See Graduate Catalog