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
- Grade Type
- None
- Prerequisite
- None
- Exam
- None
Prerequisite graph
Required first
Organisational Behaviour & Design
Unlocks
BE2601Management Principles, Skills & CompetenciesBE2602Management Principles, Skills & CompetenciesBH2601Strategic HR Management & ConsultingBH2602Total Rewards ManagementBH2603Talent Sourcing & AcquisitionBH2604Managing & Consulting Through ResearchBH2605Strategic Human Resource Management & ConsultingBH2606Total Rewards ManagementBH2607Talent Sourcing & AcquisitionBH2608Managing & Consulting Through ResearchBH3601Talent Development & ManagementBH3604Driving Strategic Change in the Digital AgeBH3605Talent Development & ManagementBH3607Driving Strategic Change in the Digital AgeBU5605Managing Organizational ChangeAvailable indexes
| Mon | Tue | Wed | Thu | Fri | ||||||||
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| 830 | 00850 SEM (1) 0830-1120 Mon S3-SR4, ONLINE Wk1-9,11-13, Teaching Wk10 | 00853 SEM (4) 0830-1120 Tue S4-SR18, ONLINE Wk1-9,11-13, Teaching Wk10 | 00854 SEM (5) 0830-1120 Tue S3-SR5, ONLINE Wk1-9,11-13, Teaching Wk10 | 00855 SEM (6) 0830-1120 Tue S4-SR9, ONLINE Wk1-9,11-13, Teaching Wk10 | 00859 SEM (10) 0830-1120 Wed S3-SR9, ONLINE Wk1-9,11-13, Teaching Wk10 | 00860 SEM (11) 0830-1120 Wed ABS-SR4, ONLINE Wk1-9,11-13, Teaching Wk10 | 00864 SEM (15) 0830-1120 Thu S4-SR8, ONLINE Wk1-9,11-13, Teaching Wk10 | 00865 SEM (16) 0830-1120 Thu S4-SR20, ONLINE Wk1-9,11-13, Teaching Wk10 | 00866 SEM (17) 0830-1120 Thu S4-SR22, ONLINE Wk1-9,11-13, Teaching Wk10 | 00870 SEM (21) 0830-1120 Fri S4-SR20, ONLINE Wk1-9,11-13, Teaching Wk10 | ||
| 900 | ||||||||||||
| 930 | ||||||||||||
| 1000 | ||||||||||||
| 1030 | ||||||||||||
| 1100 | ||||||||||||
| 1130 | ||||||||||||
| 1200 | ||||||||||||
| 1230 | ||||||||||||
| 1300 | ||||||||||||
| 1330 | 00851 SEM (2) 1330-1620 Mon S3-SR4, ONLINE Wk1-9,11-13, Teaching Wk10 | 00852 SEM (3) 1330-1620 Mon S4-SR23, ONLINE Wk1-9,11-13, Teaching Wk10 | 00856 SEM (7) 1330-1620 Tue S4-SR8, ONLINE Wk1-9,11-13, Teaching Wk10 | 00857 SEM (8) 1330-1620 Tue S4-SR1, ONLINE Wk1-9,11-13, Teaching Wk10 | 00858 SEM (9) 1330-1620 Tue S3-SR5, ONLINE Wk1-9,11-13, Teaching Wk10 | 00867 SEM (18) 1330-1620 Thu S4-SR22, ONLINE Wk1-9,11-13, Teaching Wk10 | 00868 SEM (19) 1330-1620 Thu S4-SR8, ONLINE Wk1-9,11-13, Teaching Wk10 | 00869 SEM (20) 1330-1620 Thu S3-SR10, ONLINE Wk1-9,11-13, Teaching Wk10 | 00871 SEM (22) 1330-1620 Fri ABS-SR13, ONLINE Wk1-9,11-13, Teaching Wk10 | |||
| 1400 | ||||||||||||
| 1430 | 00861 SEM (12) 1430-1720 Wed S4-SR23, ONLINE Wk1-9,11-13, Teaching Wk10 | 00862 SEM (13) 1430-1720 Wed S4-SR19, ONLINE Wk1-9,11-13, Teaching Wk10 | 00863 SEM (14) 1430-1720 Wed S3-SR3, ONLINE Wk1-9,11-13, Teaching Wk10 | |||||||||
| 1500 | ||||||||||||
| 1530 | ||||||||||||
| 1600 | ||||||||||||
| 1630 | ||||||||||||
| 1700 | ||||||||||||
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