| Hong Kong Baptist University | |
| Faculty of Science | |
| Department of Mathematics | |
| Title (Units): | MATH 3827 Logistics, Inventory Models and Networks (3,3,0) |
| Course Aims: | This course aims at introducing basic principles of logistics, inventory models, and network algorithms. This course offers hands-on experience of applying cumulative knowledge acquired to real-world applications with aid of computation tools, such as MATLAB. |
| Prepared by: | Mark Lau |
Course Intended Learning Outcomes (CILOs):
Upon successful completion of this course, students should be able to:
| No. | Course Intended Learning Outcomes (CILOs) |
|---|---|
| 1 | Describe basic modeling techniques in logistics, inventory models, and networks |
| 2 | Explain fundamental theory of logistics, inventory models, and networks |
| 3 | Use a computation tool to solve a real-world problem related to logistics, inventory models, and/or networks |
| 4 | Model some application problems in logistics, inventory models, and/or networks |
| 5 | Apply algorithms to solve problems in logistics, inventory models, and/or networks |
| 6 | Solve problems independently and collaboratively. |
Teaching & Learning Activities (TLAs)
| CILO | TLAs will include the following: |
|---|---|
| 1,2,4,5 | Pre-review the lecture notes Instructor will release the lecture notes before classes, and so students can preview it. Through this way, students can understand the lectures more efficiently and quickly. |
| 1,2,4,5 | Discussions on class Instructor will raise some questions on each class, and the students will be encouraged to solve them. Either individual thinking or group discussions are encouraged. Through this way, the interests of students might be inspired, and their ability of solving problems might be strengthened. |
| 3,4,5,6 | Semester-end project Instructor will ask students to work on a real-world problem individually or collaboratively. The problem to be studied should be a meaningful one and should arise from community needs. Work accomplished by students should have practical values and be potentially beneficial to the community. The course instructor(s) may be able to arrange project collaboration with partners outside Hong Kong. Students will be informed about whether such an opportunity is available when the class commences. If it is available, a student is expected to travel to complete the assigned project. However, if a student is not able to travel, he or she will work in Hong Kong for a separate project. |
| 1,2,4,5 | Lecture Instructor will introduce theories in lectures, and examples will be given in order to aid the learning of the subjects. |
Assessment:
| No. | Assessment Methods | Weighting | CILO Address | Remarks |
|---|---|---|---|---|
| 1 | Individual/group project | 40% | 3,4,5,6 | Instructor will ask students to work on a real-world problem individually or collaboratively. The students should demonstrate their understanding of the subject, analytical skills, and ability to solve problems in a systematic and methodological way. Reasonable progress should have been made and meaningful conclusion should be drawn at the end of the project period. For an individual project, the student should demonstrate his/her ability to work independently. For a group project, the students should work independently and collaboratively as a team; individual performance will also be evaluated in addition to the group-based assessment. |
| 2 | Continuous Assessment (assignments and/or tests) | 20% | 1,2,4,5,6 | Assignments are designed to measure students understanding of the theory, techniques, and applications of logistics, inventory and network models. The test is conducted to monitor the students’ understanding of the theory, techniques and skills taught in class. This may involve, but not limited to, in class discussions of rigorous technical problems and their solutions. |
| 3 | Final Examination | 40% | 1,2,4,5,6 | Final Examination is designed to see how far students have achieved their intended learning outcomes especially in the knowledge domain. Students should have a thorough understanding of the knowledge and apply them correctly in different context to do well in the exam. |
Course Intended Learning Outcomes and Weighting:
| Content | CILO No. |
|---|---|
| I. Introduction to Logistics, Inventory Models, and Networks | 1,2,4,5,6 |
| II. Logistics & Network Algorithms | 1,2,4,5,6 |
| III. Inventory Models | 1,2,4,5,6 |
| IV. MATLAB Basics | 3,6 |
Textbooks
Course Contents in Outline:
| Topics | |||
|---|---|---|---|
| I | Introduction to Logistics, Inventory Models, and Networks | ||
| II | Logistics & Network Algorithms | ||
| A | Shortest Route Problems 1. Dijstra’s algorithm 2. Application examples in logistics | ||
| B | Maximal Flows Problems 1. Ford & Fulkerson algorithm 2. Application examples in logistics | ||
| C | Minimum Cost Flow Problems 1. Cycle-canceling algorithm 2. Application examples in logistics | ||
| III | Inventory Models | ||
| A | Components of Inventory Models | ||
| B | Deterministic Models | ||
| C | Stochastic Models | ||
| IV | MATLAB Basics | ||
| A | Variables, numbers, vectors, matrices, and arrays | ||
| B | Built-in functions, operators and precedence | ||
| C | Loops (for-loop, while-loop); if-else statements | ||
| D | Scripts and functions | ||
| E | Data visualization with plots | ||
Updated on: 2021-12-28 11:08:18