Behavioral and Personal Finance: Smart Decision Making
- Lifetime access
- Anytime Learning
- Learn from Industry Expert
- Career Option Guideline
Why enroll
Is this course for you?
You should take this if
- You work in Mechanics & Turbomachinery
- You're a Mechanical Engineering professional
- You have 3+ years of hands-on experience in this field
- You want to build skills in Finance & Commercial Awareness, Decision Making
You should skip if
- You're new to this field with no prior experience
- You need a different specialisation outside Mechanical Engineering
- You need live interaction with an instructor
Course details
Course suitable for
Key topics covered
Course content
The course is readily available, allowing learners to start and complete it at their own pace.
- Introduction7 min
- Behavioural Economics & Finance I28 min
- Behavioural Economics & Finance II21 min
- Economics of Decision Making I24 min
- Economics of Decision Making II21 min
- Decision Making Under Risk and Uncertainty I34 min
- Decision Making Under Risk and Uncertainty II24 min
- Non-expected Utility Preferences I27 min
- Non-expected Utility Preferences II25 min
- Prospect Theory & Behavioural Biases I28 min
- Prospect Theory & Behavioural Finance I26 min
- Prospect Theory & Behavioural Finance II32 min
- Beliefs, Biases & Heuristics I23 min
- Beliefs, Biases & Heuristics II21 min
- Beliefs, Biases & Heuristics III30 min
- Biases & Financial Decision Making I30 min
- Biases & Financial Decision Making II29 min
Opportunities that await you!
Skills & tools you'll gain
Career opportunities
Why people choose EveryEng
Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.
What participants say about this course
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Coming into this course, I had some prior exposure to the subject, mainly through hand calcs and a bit of older STAAD versions, but the Connect Edition interface was a gap for me. The walkthrough on creating models, defining beam vs plate elements, and setting proper support conditions helped clear that up. What stood out was applying load combinations correctly and actually seeing how changes affected analysis results. From a railtransport angle, the sections where I could map axle loads from rail bridges into STAAD models were immediately useful. Understanding how to idealize rail bridge load cases and account for ballast and sleeper load distribution made the software feel relevant to real rail jobs, not just textbook frames. Track alignment constraints aren’t modeled directly, but the discussion helped frame assumptions better. One challenge was getting comfortable with local vs global axes when assigning loads; a couple of early models gave odd reactions until that clicked. A practical takeaway is a simple modeling checklist—define geometry, verify units, apply loads, then sanity-check reactions before design. That’s already saving time on small bridge assessments. It definitely strengthened my technical clarity.
