Faculty Recruiting Support CICS

Courses & Course Descriptions

Click for Offering Plan Exceptions - Academic Year 2021-2022

(See Other Helpful Links below - Course Offering Plan)

Spring 2022

 

The Faculty Senate has approved the following prerequisite changes for Undergraduates:

  • COMPSCI 532 Systems for Data Science, effective Fall 2022 (no undergrad section Spring 2022):
    FROM:  COMPSCI 311, COMPSCI 345, AND COMPSCI 377, ALL WITH A GRADE OF B OR BETTER.
    TO:  COMPSCI 377 AND COMPSCI 445 WITH A GRADE OF C OR BETTER.
  • COMPSCI 561 (previously 590A) System Defense and Test, effective Spring 2022:
    FROM:  COMPSCI 460 (OR COMPSCI 597N OR COMPSCI 660) WITH A GRADE OF C OR BETTER.
    TO:  COMPSCI 460 (OR COMPSCI 597N OR COMPSCI 660) AND COMPSCI 453, BOTH WITH A GRADE OF C OR BETTER.
  • COMPSCI 589 Machine Learning, effective Spring 2022:
    FROM:  COMPSCI 383 AND MATH 235 WITH A GRADE OF C OR BETTER.
    TO:  [ (MATH 545 C or better) AND (STAT 515 C or better) AND (COMPSCI 240 C or better) ]
    OR [ (MATH 545 C or better) AND (COMPSCI 240 B+ or better) ]
    OR [ (MATH 235 B+ or better) AND (MATH 233 B+ or better) AND (STAT 515 C or better) AND (COMPSCI 240 C or better) ]
    OR [ (MATH 235 B+ or better) AND (MATH 233 B+ or better) AND (COMPSCI 240 B+ or better) ]

NOT ON SPIRE WHEN SCHEDULE RELEASED - SPRING 2022:

The following courses require Faculty Senate approval and are in the process of being added, but may be delayed when registration opens:

  • Courses will be listed here once submitted to the Faculty Senate.

The following NEW experimental courses are being reviewed by the Faculty Senate and will not appear on SPIRE until fully approved:

  • INFO 390W Introduction to Clinical Health Informatics, 4 credits
    Instructor:  Sunghoon Lee

    This course aims to introduce the fundamentals of Clinical Health Informatics to prepare students as forerunners of the future of digital health care systems. More specifically, this course aims to teach students the fundamentals of and tools for quantitative analysis of clinical health data and the practical application of the tools on various health data. The detailed components of the course are as follows. Following an overview of the clinical health informatics industry, the course covers a broad range of introductory topics, including the structure of current health care systems, types of health data, the theory and practical use of quantitative analytic methodologies, and ethics related to healthcare. More specifically, this course will introduce key health informatics technologies and standards, including electronic health records, medical claims data, imaging data, free-text clinical notes, patient-reported outcomes, traditional and machine learning-based analytic algorithms, data visualization, and clinical research and experimental procedures. Note, however, that the course is not designed to introduce new types of machine learning or artificial intelligence algorithms for health-related data. This course is taught in the same classroom with students from COMPSCI 590W. However, students enrolled in INFO 390W will be evaluated independently of students from COMPSCI 590W. This course fulfills a concentration core requirement for the Health and Life Sciences track, and it can be used to fulfill an elective requirement for the Data Science concentration of the Informatics major.
    Eligibility:  INFORM MAJORS ONLY.
    Prerequisites:  INFO 248 (OR STATISTCS 515 OR COMPSCI 240) WITH A GRADE OF C OR BETTER.
    LEC 01 MW 2:30-3:45 PM
    LAB 01LL F 1:25-2:15 PM

 

Spring 2022 - OVERRIDE Requests for CICS, COMPSCI and INFO courses

 

Process for students who require special permission to enroll in university scheduled CICS, COMPSCI, and INFO courses. NOTE: Not for UWW section enrollment.

Override Information  The form is available.

 

Winter 2022

winter 2022 - OVERRIDE Requests for CICS, COMPSCI and INFO courses

Process for students who require special permission to enroll in courses offered through UWW.
Override Information  The form is now available.

 

FALL 2021

 

     

    Other helpful links:

    Courses outside the College

    Additional computer science-related courses are also offered in the Department of Electrical and Computer Engineering at UMass and at nearby Amherst, Hampshire, Mount Holyoke, and Smith Colleges. The Five College Course Catalog combines course schedule information from these colleges as well as UMass.