Chem-Bioinformatics Non-Thesis Track

This hands-on course will introduce programming using Python on Windows and Linux platforms. Topics covered include basic programming concepts, regular expressions, basic data structures and algorithms, Boolean operations, and basic programming constructs including variables and types, string, arrays, sequential and parallel execution, assignments, decision and branching, loops, functions, procedures and calls, and basic debugging techniques.

Addresses probability, discrete random variables and their distributions, mathematical expectations, sampling distributions, and multivariate distributions. Offered every Third Semester.
Prerequisite: Math-152 with a minimum grade of C, P

Explores the effects of structure and environment on reaction rates and equilibria and the use of statistical and quantum mechanics in organic chemical reactions. Topics include: organic reaction mechanism, Huckel theory, orbital symmetry, photochemistry, and standard concepts of physical organic chemistry.
Prerequisite: TAKE CH-222

Surveys the synthesis of various organic target molecules utilizing: retrosynthetic analysis, functional group transformations, synthons, and other synthetic techniques.

Explores the physical processes involved in living systems including molecular thermodynamics and equilibria, kinetics and transport phenomena, and applications of quantum chemistry and spectroscopy. Two 75-minute lectures per week.

Covers basic computer programming and database design, a basic review of biochemistry, biomolecular sequence comparisons and alignments, biomolecular structure prediction, biomolecular function prediction, and data analysis to solve theoretical problems and application problems using bioinformatics programs.

The physical and chemical properties of the elements and their compounds are correlated with their positions in the periodic table. Bonding theory and coordination chemistry are emphasized. A grade of B or better required to earn the 3 credits.

Information is a vital key to success in today's chemical industry. The premier chemical information sources will be reviewed with emphasis on Chemical Abstracts Service and Beilstein. Chemical information retrieval applications will be highlighted including STN International, Scifinder, and Crossfire in addition to Internet resources. Students will gain an appreciation for chemical database design and content as well as formulating queries for keyword and structure-based searches.

Chemistry graduate students (nonthesis track) are required to pass an oral comprehensive test (after the completion of 34 credits in coursework) in fulfillment of the MS degree.

This course discusses goals and techniques in the design, implementation, and maintenance of large database management systems: physical and logical organization; file structures; indexing; entity relationship models; hierarchical, network, and relational models; normalization; query languages; and database logic.

This course provides an understanding of machine learning techniques. It offers the concepts and the tools the students need to implement programs capable of learning from data.

Explores more advanced techniques of physical chemistry and applies theoretical concepts learned in CH 332 to real chemical systems. One three-hour laboratory per week.

This course explores the definition and concepts and aims to understand the structure, function, and properties of selfassembled multicomponent supramolecular assemblies of atoms, ions, and molecules.

A basic medicinal chemistry/pharmacology course in which the principles of drug discovery, computer aided drug design, pharmacokinetics and protein targets are studied. Such topics as the background of drug discovery, protein structure, enzymes, receptors, pharmacokinetics, metabolism, binding, structure, diversity, lead discovery, and lead optimization. Different methods to design drugs are explored such as rational drug design, fragment based, and in silico virtual molecular docking. Virtual labs employing different software are used to exemplify the different concepts covered.

This course provides an introduction to computational chemistry that is suitable for graduate students and advanced undergraduate students. Topics covered include a historical introduction to the subject, quantum mechanics, molecular mechanics, a brief introduction to statistical mechanics, and a short review of thermodynamics. Students are required to solve theoretical problems and application problems using computational software (software that students might be required to purchase). Example problems and applications are drawn from organic chemistry and biochemistry

This course focuses on the chemical aspects of the human environment. Examines the sources reactions, transport, effects, and fates of chemical species in water, soil, air, and living environments and the effects of technology thereon.

This course includes a series of experiments in synthetic inorganic chemistry and characterization of organic and inorganic compounds. Synthetic experience will include coordination compounds, organometallic complexes, and complexes of main group metals, including both stoichiometric and catalytic reactions. Characterization techniques will include UV-Vis, IR, magnetic susceptibility, and NMR spectroscopy.
Prerequisite: Take CH-331 and CH-341

This course enables students to develop low-bandwidth visual effects for webpages. A variety of software is employed to develop websites and media for the web. Topics include: web animation and interactivity using Adobe Flash, a vector-based animation tool; vector-based graphic construction and digital compression using Macromedia Fireworks, a graphic optimizing tool; and dynamic webpage construction using Adobe Dreamweaver, a visual HTML editor.

Provides an introduction to the fundamental concepts of object-oriented analysis (OOA), design (OOD), and programming (OOP), and how object-oriented languages differ from procedural languages. Notation is used to teach the concepts of abstraction, encapsulation, modularity, hierarchy, and polymorphism. This course is designed for both programmers and analysts. Both C++ and Java are used to implement these objected-oriented concepts.

Discusses main issues of Unix OS programming and administration. In particular, it explores a popular Unix text editor Emacs, Unix file system, process manipulation, regular expressions and their use, filters, and system administration, and security.
Prerequisite: Take CS-551

Big Data Analytics is about harnessing the power of data for new insights. The course covers the breadth of activities, methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry.