CS Curriculum Revisions 2019-2020

Below are proposed revisions to the CS BS and MS degrees. A few guiding principals...

• BS - widen the split between the computing science and information science concentrations - making the IS concentration more doable/attractive to more students, and firming up the foundations in the CS concentration.
• BS - shift to more 4 hour courses
• MS - new DS concentration, streamline academic concentration

Undergraduate Degree - CS BS

Note that the current major includes 10 courses required of all majors, 5 additional courses required for information science, 3 CS courses required of computing science, and 2 math courses required for computing science.

Open question - prerequisite structure. Things that required 201 now require 260 and/or 303/451?

Required for all CS Majors

• Retain from current requirements
  • CS 151 Intro to Programming, CS 470 Programming Languages
• Modifications of current requirements
  • CS 303 (4) - currently Discrete Structures, change to Intro to Theory of Computation ("theory lite"), change # to be 203
  • CS 451 (4) - currently Architecture, change to Intro to Systems ("systems lite"), change # to be 351
  • CS 499 (2+2) - currently Senior Seminar, change to Senior Design, have students take it their last two semesters
• New requirements
  • CS 260 (3) Object-Oriented Programming
  • MATH 241 or 341 (3) Statistics
  • Pass Comprehensive Exam
• Total - 24 credits

Information Science Concentration

• Retain from current requirements
  • CS 170 Web Programming, CS 469 Unix/Linux Administration and Networking, CS 479 Web Programming II
• New requirements
  • CS 101 Fundamentals of Computing, CSS 211 Intro to Computer Security, CSS 331 Files and Database Systems, CSS 210 Intro to Networking
• Total - 21 credits

Computing Science Concentration

• Retain from current requirements
  • CS 201 (4) Computer Science I, CS 202 (4) Computer Science II, MATH 131 (4) Calculus I, MATH (4) 132 Calculus II
• Modifications of current requirements
  • CS 458 (4) - currently Algorithms, becomes Algorithms and Theory of Computation
  • CS 456 (4) Systems Programming - becomes 4 credit hours
• New requirements
  • Math 313 Elementary Linear Algebra
• Total - 27 credits

Data Science

New concentration

• Current courses - CS 457 Database Processing, CS 475 Aritificial Intelligence, MATH 313 Elementary Linear Algebra, MATH 131 (4) Calculus I, MATH 132 (4) Calculus II
• New courses - CS 401 Programming for Data Science I, MATH 503 Linear Algebra and Modeling for Data Science and Analytics, MATH 540 Statistics for Data Science & Analytics
• Total - 26 credits

No Longer Required

Courses that are no longer required in any concentration. Can be banked if we don't plan to offer, or offered as electives

• CS 452 Software Engineering, CS 471 Operating Systems, CS 420 Theory of Computation, CS 421 Formal Methods, CS 473 Computer Networks
• Total - 5 courses, 15 credits

Graduate Degree - CS MS

Current requirements are at - [1]

Required for all CS Majors

• Retain from current requirements
  • Culminating Experience - CS 685, 695, 699 (or BIO options for bioinformatics concentration)
• New Requirement
  • Pass Comprehensive Exam

Academic Concentration

• Modifications of current requirements
  • CS 658 Algorithms II (5) - just require this, don't offer CS 620
  • CS 671 Operating Systems II (5) - just require this, don't offer CS 673, rename 671 to be Systems II (or something)
  • No longer require third systems/theory course
• New Requirements
  • CS 558 (4) - required if 458 not taken as undergrad, 4 credits like 458 will be?
  • CS 556 (4) - required if 456 not taken as undergrad, 4 credits like 456 will be?

Anything else?

Professional Concentration

• New requirements
  • CS 501 - required

Bioinformatics Concentration

• Retain from current requirements - just about everything
• Modifications of current requirements
  • CS 500 Programming Fundamentals - instead require CS 500 or CS 501 Programming for Data Science & Analytics I

Data Science - New Concentration

• Required Coursework
  • CS 501 Programming for Data Science & Analytics I
  • CS 557 Database Processing (if 457 not taken as undergrad)
  • CS 575 Artificial Intelligence (if 475 not taken as undergrad)
  • CS 601 Programming for Data Science & Analytics II
  • CS 617 Databases, Data Mining, and Big Data
  • MATH 503 Linear Algebra and Modeling for Data Science and Analytics
  • MATH 540 Statistics for Data Science & Analytics

This is 7 required courses. Adding the 3 credit culminating experience then gives 8 courses, and 3 courses of 600-level electives (need all 3 to be 600 level so the total is 18 credits of 600 level).

Note - other course proposed from last year that might be worthwhile - DATA 640 Data Visualization and Presentation.