Subject:
Management Sciences (MSCI)
Catalog number:
700
Unit weight:
0.50
Meet type:
RDG
Grading basis:
NUM
Cross-listing(s):
N/A
Requisites:
Also offered OnlineInstructor Consent Required
Description:
Priority may be given to Management Sciences students.
Topic titles:
1 Inventory Management
2 Hub and Spoke Systems' Design
3 Cooperation in Pharm. Industry
4 Lot-Sizing Algorithms
5 Design of Electricty Markets
6 Layout Optimization
7 Business Process Analysis
8 Decomposition
9 Electricity Markets
10 Semidef Prog: Models, Alg&Comp
11 Scheduling
12 Project Management
13 Elec Power Unit Commit Models
14 Pricing & Revenue Management
15 Fundamentals of Queuing Theory
16 Matrix Analytic Methods
17 Can Hlth Care - Wait List Opt
18 Network Models
19 Operat. and Supply Chain Mgmt.
20 Nurse Rostering and Scheduling
21 Process Improve. & Lean Man.
22 Scheduling: Theory & Practice
23 Facilitating Bible Study
24 Cost Based Opt. in Health Care
25 Foundations of Management
26 Stochastic Programming
27 Stochastic Dynamic Programming
28 Topics in Op Research & Mngmnt
29 Decomp Methods Large-Scale Opt
30 Location Analysis
32 Prescriptive Analytics
2 Hub and Spoke Systems' Design
3 Cooperation in Pharm. Industry
4 Lot-Sizing Algorithms
5 Design of Electricty Markets
6 Layout Optimization
7 Business Process Analysis
8 Decomposition
9 Electricity Markets
10 Semidef Prog: Models, Alg&Comp
11 Scheduling
12 Project Management
13 Elec Power Unit Commit Models
14 Pricing & Revenue Management
15 Fundamentals of Queuing Theory
16 Matrix Analytic Methods
17 Can Hlth Care - Wait List Opt
18 Network Models
19 Operat. and Supply Chain Mgmt.
20 Nurse Rostering and Scheduling
21 Process Improve. & Lean Man.
22 Scheduling: Theory & Practice
23 Facilitating Bible Study
24 Cost Based Opt. in Health Care
25 Foundations of Management
26 Stochastic Programming
27 Stochastic Dynamic Programming
28 Topics in Op Research & Mngmnt
29 Decomp Methods Large-Scale Opt
30 Location Analysis
32 Prescriptive Analytics
Faculty:
Engineering (ENG)
Academic level:
GRD
Course ID:
010503
