Agenda for CSE Department Meeting 9-27-21

Departmentwide Topics

department office staffing
In addition to searching for an admin, I am starting a new student team, the webadmin team, to assist with web and front office functions.
Department Promotional Video
CS+IT MGT+IT
  • theme/direction:
  • 2 faculty interviews - nominations?
  • 2 student interviews - nominated: Summer, Alan F.
  • compelling imagery - videogame? cyberattack stuff?
  • theme/direction:
  • 2 faculty interviews - Frank, Haoying
  • 2? student interviews - ? and ?
  • compelling imagery - Santa Fe competition
Improving preparation for our tougher courses
I was recently visited by a student who sailed through lower-division courses and then felt un-prepared for their upper-division course. The student did not want the upper-division course to be easier, they felt that certain lower-division course(s) need to be more rigorous.

IT Program Topics

NASA competition - Frank
details here
2nd semester Python course
Dr. Kuo showed me a plan recently; any update?
IT BA
By definition, this would be an IT degree without calc 2 and without the year of calculus based physics and the year of chemistry.
Resolving the 382 prerequisites
Last year we failed to achieve consensus on exactly which fix to apply. It is not really OK to leave this unfixed.
Implicit MGT 472 requirement
IT 466 requires MGT 472. Nothing new; first appeared in 2016 catalog. IT 466 appears on requirement list but MGT 472 does not appear in sample curriculum. How should the catalog be changed to account for this?

IT 466, 466D, Project Management, 3 cr, 3 cl hrs
Prerequisite: MATH 2350, MGT 472 each with a grade of C or higher, or consent of instructor and advisor
Development of work breakdown structures and multifactor project simulations to be used in dynamic resource allocations. Assessment and evaluation of project models over time. (Same as MGT 476.)

MGT 472 Production and Operations Management I
Prerequisites: MATH 2350 and upper-class standing or consent of instructor and advisor.
Application of quantitative methods to problems encountered in management. Problem solving emphasis with extensive use of applications software. Topics include linear and integer programming, forecasting, queueing theory and simulation