Computer Science Major: Bioinformatics Option (B.S.)

Computer Science Major: Bioinformatics Option (B.S.)

University of New Hampshire 1 Mathematics Courses COMPUTER SCIENCE MAJOR: MATH 425 Calculus I 4 MATH 426 Calculus II 4 BIOINFORMATICS OPTION MATH 531 Mathematical Proof 4 (B.S.) MATH 539 Introduction to Statistical Analysis 4 or MATH 644 Statistics for Engineers and Scientists http://cs.unh.edu/bs-computer-science-bioinformatics MATH 739 Applied Regression Analysis 4 Electrical and Computer Engineering Course Description ECE 543 Introduction to Digital Systems 4 Science Courses The bioinformatics field is an increasingly important sub-discipline in BIOL 411 Introductory Biology: Molecular and Cellular 4 computer science. The demand for computer science graduates who can BIOL 412 Introductory Biology: Evolution, Biodiversity and 4 apply their knowledge in the life sciences is significant and is expected Ecology to continue to grow. Students who choose this path are still computer CHEM 405 Chemical Principles for Engineers 4 science majors but have a concentration in the life sciences. The option has the same core as the B.S. program but requires appropriate GEN 604 Principles of Genetics 4 coursework in chemistry, biology, genetics, and statistics. GEN 711 Genomics and Bioinformatics 4 Other Courses The B.S. in computer science programs are accredited by the: ENGL 502 Professional and Technical Writing 4 Computing Accreditation Commission of ABET Discovery requirements not already covered by required courses 111 Market Place Total Credits 105 Suite 1050 1 Baltimore, MD 21202-4012 700-level CS Elective course. Must be Writing Intensive (WI) with (410) 347-7700 project in bioinformatics. Requirements Bioinformatics students must complete the following coursework in computer science, mathematics, computer engineering, science, and English. (All courses are 4 credits unless indicated otherwise.): Computer Science Courses Select one of the following: 8 CS 415 Introduction to Computer Science I & CS 416 and Introduction to Computer Science II CS 414 From Problems to Algorithms to Programs & CS 417 and From Programs to Computer Science CS 410 Introduction to Scientific Programming & CS 417 and From Programs to Computer Science CS 400 Introduction to Computing 1 IT 403 Introduction to Internet Technologies 4 CS 501 Professional Ethics and Communication in 4 Technology-related Fields CS 515 Data Structures 4 CS 520 Assembly Language Programming and Machine 4 Organization CS 619 Introduction to Object-Oriented Design and 4 Development CS 620 Operating System Fundamentals 4 CS 659 Introduction to the Theory of Computation 4 CS 671 Programming Language Concepts and Features 4 CS 758 Algorithms (CS theory) 4 CS Elective 700-level 1 4 CS 775 Database Systems 4 CS 791 Senior Project I 2 CS 792 Senior Project II 2.

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