Analytics for Capital Market Trading and Investment (BT4013), NUS, Jan-May 2019

  • He is very responsible.
  • Well scheduled lecture and good sense of responsibility
  • Great teacher
  • great teacher
  • He is very professional and enthusiastic in teaching.
  • Patient and helpdul educator
  • Nice to student
  • Passionate towards teaching and goes the extra mile to check that we are okay with the pace of the lesson + constantly asking us for feedback
  • One of the most rewarding module in my course
  • he is an effective lecturer that teaches well
  • He is well prepared and knowledgable.
  • He is enthusiastic when teaching.
  • ok
  • accepting teacher that encourages class participation and helps students in need
  • Responsible, effective, approachable
  • Good knowledge on the topics.
  • Very motivated teacher that is very knowledgeable and clear on what he is teaching.
  • Humorous, knowledgeable, plans the lessons well
  • Patient and willing to repeat and explain concepts that are unclear to students
  • Very clear explanation for concept, well planned slides
  • Clear and goes through the entire rationale and idea on how each algo works
  • Very proficient in knowledge and teaches very well.
  • Very comprehensive and tries to ensure that the weaker students are accounted for
  • Good technical knowledge, engaging in class
  • Highly engaging and relevant. Examples used in class generally relevant to real world.
  • very engaging lecture
  • Very clear in teaching, breaks down the concepts and formulas so that it is easy to understand
  • Knows his content well and puts in effort to make sure we all do too.
  • knowledge
  • Approachable
  • Speak more clearly and slow down the pace.
  • motivation
  • N.A.
  • less futures for the projects
  • I believe that the workload for this module is very heavy. Too many homework to submit. I believe that the workload for this module could be lighter.
  • Give less homework
  • less quiz
  • Lesser content or workload. The module is too heavy.
  • Given that our math background may not be as strong as what he expects, the department could introduce rigorous statistics modules to help facilitate the transition to said module. I do believe the cohort needs a stronger statistical background anyways.
  • Balance module workload, higher weightage components and less grade components.
  • there can be too much new content in one lesson sometimes, which makes it difficult to absorb everything at once
  • Do not leave blanks in notes
  • Would like to see a bit more hands-on in coding the algorithms out for backtesting properly etc. Quiz right at 9am is also quite brutal.
  • using piazza is a stupid idea
  • don't try to rush your content
  • It would be great if Stanley can balance the workload of each homework.
  • don't speak too fast; dont rush through the materials
  • Good and passionate teacher
  • Well structured content
  • great
  • Enthusiastic and professional in teaching.
  • Patient to answer qns
  • Patient and effective lecturer
  • I like his sense of humor
  • Enthusiastic
  • Clear and goes through the entire rationale and idea on how each algo works
  • One of the most engaging professors I've encountered.
  • Very technical, great understanding of subject matter.
  • Approachable
  • Patient and willing to help
  • Clear explanation
  • Comprehensive materials
  • Clear and easy to understand
  • He is knowledgeable and patient.
  • Get a better TA
  • Lectures may be a little fast at times without any opportunities to catch up.
  • Work on balancing the workload of the module. Module workload is very high with numerous components that weigh little. Perhaps the project can take up a higher proportion of marks and reduce the number of homeworks.
  • Be more clear
  • Less homework
  • Provide more comprehensive notes
  • N.a
  • Reduce/spread out workload
  • Speak more clearly and slow down the pace
  • too difficult i not good in math
  • Too much theory on the math too little application
  • Dry at times
  • More time can be spent on teaching the difficult concepts that are introduced towards the end of the module
  • Too much homework disrupted the revision schedule
  • The project
  • Too much math.
  • Too many assignments.
  • The assignments are not spread out properly (too much at the last part)
  • Too content heavy
  • Workload may be slightly heavier than expected
  • Too many assignments coupled with project and midterms. Possibly reduce the workload and focus on less content.
  • too heavy
  • too much unnecessary details
  • too much homework
  • piazza is hell
  • u can't apply what u learn in project
  • mathematically heavy
  • Exposes us to time-series modeling
  • i get to participate in a soft-quant competition
  • it telling me that quant trading is difficult
  • All concepts are explained clearly and concisely.
  • the industry talks
  • It is a difficult module, very content heavy and intensive in terms of cumulative assessments. I feel as if every 1% of the grade is hard earned! Nonetheless, it has provided me with a lot of working knowledge that I really appreciate.
  • Rigorous, actually feel like I am learning useful things
  • Well planned module that teaches important time series concepts
  • Well planned, useful content
  • Lots of hands-on about how to analyse time series data (work with real world data too).
  • Good real world application
  • Interesting things covered, and application is possible in projects and assignments.
  • Goes into the technical aspect of time series analysis, very statistically and linked mathematical intuition with real-world application
  • Good learning curve, very comprehensive in coverage.
  • Something new, first time learning time-series analysis. Well paced.
  • Good combination of theory and practices
  • I can explore real data.
Last modified: Tue Jun 4 10:00:-- SGT 2019