SKIH 2123|| Undergraduate
Synopsis:
This course provides an introduction to the process of designing models of existing or proposed real-world systems, and how to use the models to perform simulations that allow for predictions about the future behavior of the system. The system could be something as mundane as a queuing system, to something more complex, such as a social network, or biological system. Most systems of interest will require the development of one or more computational models. Thus, modeling and simulation has a significant overlap with probability, statistics and calculus. The course topics will include a review of concepts from statistics and differential equations that are relevant to modeling and simulation, algorithms for discrete-event, dynamics and agent-based modeling and simulation. Programming assignments will be provided throughout the semester. In addition, each student will complete an end-of-term project that centers on the modeling and simulation of a system of interest.
Learning Outcomes:
Upon completing this course, you will be able to:
Course Information:
Coordinator: Azizi Ab Aziz
Level: Undergraduate (SKIH 2123)
E-mail : aziziaziz [at] uum [dot] edu [dot] my
Time : 1130 - 1320
Location: Sunday (DKG 4/4) & Wednesday (SOC - Lab 04)
(* from 3rd to 17th April 2024 - our classes will be delivered via WEBEX platform. The WEBEX link can be found on our learning portal )
UUM Digital Learning Platform: UUM Online Learning
Announcement : ;-)
Syllabus & Lecture Notes:
Practical / Lab Works:
Assignments/ Project:
This course provides an introduction to the process of designing models of existing or proposed real-world systems, and how to use the models to perform simulations that allow for predictions about the future behavior of the system. The system could be something as mundane as a queuing system, to something more complex, such as a social network, or biological system. Most systems of interest will require the development of one or more computational models. Thus, modeling and simulation has a significant overlap with probability, statistics and calculus. The course topics will include a review of concepts from statistics and differential equations that are relevant to modeling and simulation, algorithms for discrete-event, dynamics and agent-based modeling and simulation. Programming assignments will be provided throughout the semester. In addition, each student will complete an end-of-term project that centers on the modeling and simulation of a system of interest.
Learning Outcomes:
Upon completing this course, you will be able to:
- Identify important characteristics to develop a model
- Select and apply models appropriate for the nature of the data and the decision to be made.
- Assess model feedback and make adjustments to produce desired outcomes.
Course Information:
Coordinator: Azizi Ab Aziz
Level: Undergraduate (SKIH 2123)
E-mail : aziziaziz [at] uum [dot] edu [dot] my
Time : 1130 - 1320
Location: Sunday (DKG 4/4) & Wednesday (SOC - Lab 04)
(* from 3rd to 17th April 2024 - our classes will be delivered via WEBEX platform. The WEBEX link can be found on our learning portal )
UUM Digital Learning Platform: UUM Online Learning
Announcement : ;-)
Syllabus & Lecture Notes:
- Introduction to Modeling & Simulation
- Simulation Environments and Tools
- Process in Modeling & Simulation
- Input Patterns & Random Number Generator
- Discrete & Continuous Event Modeling
- Agent & Multiagent Based Modeling
- Digital Twins
- Evaluation (Input-Output Analysis, Verification & Validation)
- Issues & Advancement in Modeling & Simulation
Practical / Lab Works:
Assignments/ Project:
- Assignment
- Assignment #1 (submission date X)
- Assignment #2 (submission date X)
- Assignment #3 (submission date X)
- Project (submission date X)
- TBI
- TBI