Difference between revisions of "CS Curriculum Revisions 2019-2020"

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(Graduate Degree - CS MS)
(MS Overview)
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| Fall 1  || 500, 501, 600 || 500, 558, --- || 500 or 501, 600, BIO 581 || 501, Math 503, 6xy
 
| Fall 1  || 500, 501, 600 || 500, 558, --- || 500 or 501, 600, BIO 581 || 501, Math 503, 6xy
 
|-
 
|-
| Spring 1 || 609, ---, --- || 556, 658, --- || 618, BIO 587, ---        || 601, Math 540, 6xy
+
| Spring 1 || 609, ---, --- || 556, 658, --- || 618, BIO 587, ---        || 601, Math 540, 575
 
|-
 
|-
 
| Fall 2  || 617, ---, --- || 671, ---, --- || 617 or 557, BIO 680, --- || 617, 557, 6xy
 
| Fall 2  || 617, ---, --- || 671, ---, --- || 617 or 557, BIO 680, --- || 617, 557, 6xy
 
|-
 
|-
 
| Spring 2 || 685, ---      || 695, ---      || 685 or 695 or BIO, ---  || 695
 
| Spring 2 || 685, ---      || 695, ---      || 685 or 695 or BIO, ---  || 695
 +
|}
 +
 +
Names of courses, and ones to be > 3 hours
 +
{| class="wikitable"
 +
|-
 +
! Other !! Pro !! Academic !! Bioinf !! DS
 +
|-
 +
| ||
 +
500 Programming Fundamentals <br>
 +
501 Prog for DS and Anal I <br>
 +
600 Concrete Math <br>
 +
609 Web Prog and Apps <br>
 +
617 DB, DM, and Big Data <br>
 +
||
 +
558 Algorithms (5) <br>
 +
556 Systems (4) <br>
 +
658 Algorithms II (5) <br>
 +
671 OS II (5) <br>
 +
695 CS Research<br>
 +
||
 +
Math 503 <br>
 +
Math 540 <br>
 +
601 Prog for DS and Anal II <br>
 
|}
 
|}
  
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* Pass Comprehensive Exam
 
* Pass Comprehensive Exam
 
* Culminating experience - give incomplete when insufficient work done
 
* Culminating experience - give incomplete when insufficient work done
* 658 5 credits, 671 5 credits
 
* 558 5 credits, 556 4 credits
 
  
 
== Data Science - New Concentration ==  
 
== Data Science - New Concentration ==  

Revision as of 04:01, 8 May 2019

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, firming up the foundations in the CS concentration, adding a data science concentration.
  • MS - new data science concentration, streamline academic concentration
  • BS and MS - shift some key courses to be 4-5 hour courses, ensuring a stronger foundation for more students.

The # of credits for each course is in (). Existing requirements that are being eliminated are in strikethrough.

The learning outcomes for the courses are given in CS learning outcomes.

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.

current minor, current certificate

CS Majors/Minor Overview

6 semester plan for the undergrad major

Term All/Minor CS IS DS
Fall 1 151 101 151, Math 131
Spring 1 201, Math 131 151, CSS 210 201, Math 132
Fall 2 stats, 251 202, Math 132, 203 170, CSS 211 202, Math 231
Spring 2 456 201, 203, CSS 331 Math 313, 401
Fall 3 499 458, 471 457, 479 457, 475
Spring 3 470, 499 473 469

Names of courses, and ones to be > 3 credit hours

All CS IS DS

Stats - Math 241 or 341
151 Intro to CS
201 Data Structures? (4)
203 Discrete Structures / Intro Theory (4)
251 Intro Systems (5)
470 PL
499 Senior Design
Culminating Exam

202 Algorithms I? (4)
458 Algorithms II? (5)
456 Systems (4)
471 Op Sys
473 Networking

101 Fundamentals of Computing
CSS 210 Intro to Networking
CSS 211 Intro to Security
CSS 331 Files and DB
170 Web Prog I
457 DB
469 Unix/Linux Adm/Net
479 Web Prog II

Math 131, 132, 231 Calc I, II, III
Math 313 Elem Lin Alg
202 CS II
401 Prog for DS (4)
457 DB
475 AI (5)

Prereqs

  • 101 or 151 -> CSS 210, CSS 211, CSS 311
  • 151 -> 201, 203, 251, 170
  • 201 -> 202, 470, 499, 457
  • 202 -> 458, 456, 475
  • 456 -> 471, 473
  • 251 -> 456, 469
  • 203 -> 458, 457
  • 170 -> 479
  • Math 313 -> 401, 475
  • Math 231 ->

Graduate Degree - CS MS

Current requirements are at - [1]

MS Overview

4 semester plan

Term Pro Academic Bioinf DS
Fall 1 500, 501, 600 500, 558, --- 500 or 501, 600, BIO 581 501, Math 503, 6xy
Spring 1 609, ---, --- 556, 658, --- 618, BIO 587, --- 601, Math 540, 575
Fall 2 617, ---, --- 671, ---, --- 617 or 557, BIO 680, --- 617, 557, 6xy
Spring 2 685, --- 695, --- 685 or 695 or BIO, --- 695

Names of courses, and ones to be > 3 hours

Other Pro Academic Bioinf DS

500 Programming Fundamentals
501 Prog for DS and Anal I
600 Concrete Math
609 Web Prog and Apps
617 DB, DM, and Big Data

558 Algorithms (5)
556 Systems (4)
658 Algorithms II (5)
671 OS II (5)
695 CS Research

Math 503
Math 540
601 Prog for DS and Anal II

Other changes

  • Pass Comprehensive Exam
  • Culminating experience - give incomplete when insufficient work done

Data Science - New Concentration

Admissions

To declare the data science concentration, students must demonstrate competency (through coursework/transcript or otherwise) in the following - basic programming and data structures, multivariate calculus, matrix algebra. To be prepared for the DS MS, an undergraduate at ISU should complete the following - CS 151 Intro to Computer Science, CS 260 Object Oriented Programming, MATH 131/132/231 Calculus I/II/III, MATH 313 Elementary Linear Algebra.

Curriculum

  • CS 501 Programming for Data Science & Analytics I (3)
  • CS 557 Database Processing (3) (if 457 not taken as undergrad)
  • CS 575 Artificial Intelligence (3) (if 475 not taken as undergrad)
  • CS 601 Programming for Data Science & Analytics II (3)
  • CS 617 Databases, Data Mining, and Big Data (3)
  • MATH 503 Linear Algebra and Modeling for Data Science and Analytics (3)
  • MATH 540 Statistics for Data Science & Analytics (3)

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).

Accelerated MS Program

An accelerated MS program is a chance for an ISU undergrad to finish the BS and MS in 4+1 years. The university-wide policies are - policies. An example program is - accelerated Math MS

  • Students must have 3.0 GPA and have completed 80% of their required credits by the start of their 4th year.
  • Students must finish their BS with 3.0 GPA.
  • Can take up to 9 credits of 500 level courses and 6 credits of 600 level courses in final year of BS. Up to 9 credits of 500 level can count for both BS and MS. Note that 600 level courses don't count towards being full time for financial aid.

Teaching Schedule

When these changes are in effect (2020-2021), the CS teaching schedule could be ...

  • Fall and Spring (52) - 101, 151, 151, 151, 170, 201 (4), 202 (4), 203 (4), 256, 256, 260, 351 (5), 499 (2), 500, 401/501, 685/695/699
  • Fall (30) - 479, CSS 210, CSS 331, 458 (4), 457, 470, 671 (5), 600, 603/611, 617
  • Spring (30) - 469, CSS 211, 456 (4), 475, 658 (5), 601, 602/610, 618/619, 609
  • Total - 52*2+30+30 - 164 credit hours,

And taught by ...

  • Abhyankar - fall CSS 210, 603/611, 470, 256 | spring 256, 256, CSS 211, 602/610
  • Baker - fall 457, 479, 351(5) | spring 351(5), 456(4), 469
  • Exoo - fall 617, 401/501, 671(5) | spring 475, 601, 401/501
  • Kinne - fall 151, GH 101 | spring 151, BD4ISU
  • Rafiey - fall 458(4), 600, 256 | spring 658(5), 618/619
  • Sternfeld - fall 500, 499(2), 170, 203(4) | spring 203(4), 500, 609, 499(2)
  • New CS Faculty Member - fall 202(4), 685, CSS 331 | spring 202(4), 685, 170
  • Boulware - fall 260 | spring 260
  • May - fall 101, 201(4) | spring 101, 201(4)
  • GAs - fall 151, 151, 260 | spring 151, 151, 260
  • not offered with current staffing - [420], [473], [452], [421], [471]

Note - this assumes that Math is able to offer MATH 403/503, 440/540