AY2026 Semester 1 data is now available →
AY2020/2021 Semester 1
Business is in the midst of a revolutionary transformation. Emerging technologies that combine AI, machine learning, cutting-edge visualization techniques, and social robots are fast revolutionizing the business workplace globally. Building a motived workforce is a critical responsibility of managers. To do so, managers must know why people behave in organizations the way they do. Research in cognitive sciences, artificial intelligence and neuroscience has generated significant insights that can enrich our knowledge of people. This course is designed to focus on processes and methods that can improve the attitudes and behaviors of organizational members. You will learn to know more about yourself and others. You will also learn how to influence and predict your own behaviours as well as those of others. Within the context of a world of social media, AI, and machine learning, you will learn various organizational behaviour theories and concepts, and then apply them appropriately to real-life situations to make sense of human behaviours and human-robots interactions at work. This course adopts a flipped classroom approach, which will give you ample opportunity to share your knowledge with others and also learn with them collaboratively.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS(GA) 2, ACBS(GA) 3, ACBS(GA) 4, ACBS(GB) 1, ACBS(GB) 2, ACBS(GB) 3, ACBS(GB) 4, ACC(GA) 2, ACC(GA) 3, ACC(GB) 1, ACC(GB) 2, ACC(GB) 3, BCE 2, BCE 3, BCE 4, BCG 2, BCG 3, BCG 4, BUS 2, BUS 3, BUS(GB) 1, CE, CSC, MS |
| Mutually Exclusive With | BU8601, CE8003, CZ8003, EE4041, MS2030, MS3030 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
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| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 900 | 00816 SEM (1) 0900-1200 Tue S4-SR5 | 00817 SEM (2) 0900-1200 Tue S4-SR4 | 00822 SEM (7) 0900-1200 Thu S3-SR8 | 00825 SEM (10) 0900-1200 Thu S3-SR10 | 00826 SEM (11) 0900-1200 Thu S4-SR5 | 00827 SEM (12) 0900-1200 Thu LHS-TR+53 | 00824 SEM (9) 0900-1200 Fri S3-SR10 | 00831 SEM (16) 0900-1200 Fri S4-SR5 | 00832 SEM (17) 0900-1200 Fri S4-SR19 | 00835 SEM (20) 0900-1200 Fri S4-SR11 | ||||
| 930 | ||||||||||||||
| 1000 | ||||||||||||||
| 1030 | ||||||||||||||
| 1100 | ||||||||||||||
| 1130 | ||||||||||||||
| 1200 | ||||||||||||||
| 1230 | ||||||||||||||
| 1300 | ||||||||||||||
| 1330 | 00818 SEM (3) 1330-1630 Tue S4-SR8 | 00819 SEM (4) 1330-1630 Tue S4-SR13 | 00820 SEM (5) 1330-1630 Tue S4-SR5 | 00821 SEM (6) 1330-1630 Tue S3-SR10 | 00828 SEM (13) 1330-1630 Thu S4-SR5 | 00829 SEM (14) 1330-1630 Thu S4-SR4 | 00830 SEM (15) 1330-1630 Thu S4-SR6 | 00833 SEM (18) 1330-1630 Fri S4-SR11 | 00834 SEM (19) 1330-1630 Fri S4-SR5 | |||||
| 1400 | ||||||||||||||
| 1430 | 00823 SEM (8) 1430-1730 Wed S4-SR21 | |||||||||||||
| 1500 | ||||||||||||||
| 1530 | ||||||||||||||
| 1600 | ||||||||||||||
| 1630 | ||||||||||||||
| 1700 | ||||||||||||||