AY2026 Semester 1 data is now available →
AY2021/2022 Semester 2
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, ACDA 1, BCE 2, BCE 3, BCE 4, BCG 2, BCG 3, BCG 4, BUS 2, BUS 3, BUS(GB) 1 |
| Mutually Exclusive With | BU5601, BU8601, CE8003, CZ8003, EE4041, MS2030, MS3030 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 830 | 00903 SEM (3) 0830-1120 Tue S4-SR18 | 00904 SEM (4) 0830-1120 Tue S3-SR7 | 00905 SEM (5) 0830-1120 Tue S4-SR21 | 00913 SEM (13) 0830-1120 Thu S4-SR20 | 00914 SEM (14) 0830-1120 Thu S4-SR8 | 00918 SEM (18) 0830-1120 Fri S3-SR3 | 00920 SEM (20) 0830-1120 Fri S4-SR20 | |||||||
| 900 | ||||||||||||||
| 930 | ||||||||||||||
| 1000 | ||||||||||||||
| 1030 | ||||||||||||||
| 1100 | ||||||||||||||
| 1130 | ||||||||||||||
| 1200 | ||||||||||||||
| 1230 | ||||||||||||||
| 1300 | ||||||||||||||
| 1330 | 00901 SEM (1) 1330-1620 Mon S3-SR4 | 00902 SEM (2) 1330-1620 Mon LHS-TR+52 | 00906 SEM (6) 1330-1620 Tue S4-SR8 | 00907 SEM (7) 1330-1620 Tue S3-SR9 | 00908 SEM (8) 1330-1620 Tue S3-SR5 | 00915 SEM (15) 1330-1620 Thu S3-SR1 | 00916 SEM (16) 1330-1620 Thu S4-SR8 | 00917 SEM (17) 1330-1620 Thu S3-SR10 | 00919 SEM (19) 1330-1620 Fri S3-SR3 | |||||
| 1400 | ||||||||||||||
| 1430 | 00909 SEM (9) 1430-1720 Wed LHS-TR+47 | 00910 SEM (10) 1430-1720 Wed LHS-TR+53 | 00911 SEM (11) 1430-1720 Wed S4-SR8 | 00912 SEM (12) 1430-1720 Wed S3-SR3 | ||||||||||
| 1500 | ||||||||||||||
| 1530 | ||||||||||||||
| 1600 | ||||||||||||||
| 1630 | ||||||||||||||
| 1700 | ||||||||||||||