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Adelyne Chan

Adelyne Chan
Cambridge, United Kingdom
Cancer Biology
Masters Degree

Completed ( 26 )

Dropped ( 2 )

No courses found

Introduction to Forensic Science

Written 3 years ago
This course is a great foundation for anyone interested to learn the basics of forensic science, and the assignments are both challenging and interesting. The assignments take a bit of time to think through and work on. I would say the only real downside of this course was the nature of the peer-reviewed assignments, as we were not really given clear instructions e.g. on the structure and how much detail is required, and as a result many people who could have done much better were not happy with the results of their peer assessments.

I also loved the way in which the last week of lectures was not assessed, but the instructor instead went through a range of case-studies CSI style which was a very interesting way to finish off a course on forensic science! Some of the more technical lectures tend to get a little draggy, though the material is presented in a manner that is extremely easy to understand.
My rating
Adelyne Chan completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

Case-Based Introduction to Biostatistics

Written 3 years ago
A nice and easy to understand introduction to biostatistics, with the instructor explaining very clearly the ways in which the different statistical tests can be applied using real-life examples each week.
My rating
Adelyne Chan completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

Introduction to Marketing

Written 3 years ago
One of the best MOOCs I have taken to date and highly recommend. I am a science student who is new to marketing but found this course extremely easy to follow, Profs Kahn, Fader and Bell are all highly engaging, knowledgeable and provide adequate links to external research to allow further study into the subject.

The modular nature of this course makes it easy to transition from one topic to the next, with each of the three professors spending 3 weeks going through the material of a particular module. There is also a lot of reference to real-life situations, making the course material easier to relate. I would highly recommend this MOOC not only for MBA students but for anyone interested to understand the basics of marketing and the strategies being applied by corporate firms.
My rating
Adelyne Chan completed this course, spending 3 hours a week on it and found the course difficulty to be medium.

A Beginner's Guide to Irrational Behavior

Written 3 years ago
I loved this course, the various topics selected for discussion were interesting and Prof Ariely has a very humorous way of keeping the audience engaged and interested. There is also a distinction track for those interested to take part in more activities such as the writing exercise and reading assignments, and also a normal track for those who just wish to follow the course. Highly recommended!
My rating
Adelyne Chan completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

Bioinformatic Methods I

Written 3 years ago
I am a biology student and found the course quite easy to follow, and the different databases which Prof Provart was very interesting and relevant to the work I wish to do in research. However, I have had friends (not from a science background) who took the course at the same time as I did but had to drop out because they could not follow the material - therefore the prerequisite of molecular biology is one that is necessary.
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

Bioinformatic Methods II

Written 3 years ago
I took this course as a follow up after completing Bioinformatic Methods I and finding it extremely useful. Although Bioinformatic Methods I is not listed as a prerequisite, I think it would be helpful if they were taken together as Prof Provart introduces some of the simpler tools in the first course then following up with this one. The way in which the exercises are designed can sometimes be confusing to follow, but there are plenty of discussion forums where help can be easily obtained - Prof Provart himself follows the forums very closely and is not hesitant to step in with further explanations.
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

Financial Markets

Written 3 years ago
I was really looking forward to this course but unfortunately was a bit disappointed by it. Prof Shiller is clearly very knowledgeable in this topic, and his teaching assistants Kai and Gautam did a fairly good job in putting the course together, but some of the guest speakers were not very good speakers - many were over-reliant on their notes which made their speeches hard to follow.

Perhaps one of the reasons for this disappointing nature of the course is the fact that it had been chopped up from a full-length course on OpenYale, I may one day try that out to see if it is slightly better.
My rating
Adelyne Chan completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

Think Again: How to Reason and Argue

Written 3 years ago
This course started of stormingly well, with Prof Sinnott-Armstrong providing a whole load of wackiness in the way he delivers the course. Unfortunately the content started to go rather downhill after that, and I found Prof Neta's style of teaching particularly difficult to follow.
My rating
Adelyne Chan completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

An Introduction to Interactive Programming in Python (Part 1)

Written 3 years ago
I really liked Profs Warren and Rixner's way of delivering the course, and the use of game design is a very interesting way to get the message of programming across and also to provide a means of practicing the material taught in the course. The peer-review system remains one of the best I have seen in Coursera to date, with the requirements clear and easy for everyone (both marker and student) to understand. It is also easy to review assignments and find out why marks were deducted, as well as columns allowing the reviewer to add comments and suggestions.

This course is, however, not quite as basic as the course information implies! I took quite a lot of time each week just to understand the game template and to figure out how to make the game work. Some prior background in programming might have helped - I had zero experience prior to this course (nonetheless I managed to complete it!).
My rating
Adelyne Chan completed this course, spending 10 hours a week on it and found the course difficulty to be very hard.

Competitive Strategy

Written 3 years ago
A nice, simple yet well-thought out introduction to competitive strategy provided by Prof Kretschmer, and I am now mid-way through his second course Advanced Competitive Strategy. This course is easy to follow even for a non-specialist, but introduces the concepts in a very broad manner allowing the knowledge to be applied across a wide range of situations.
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be medium.

Games without Chance: Combinatorial Game Theory

Written 3 years ago
I took this course because I was curious as to how "Games Without Chance" could be analysed - many of the strategic courses I had taken previously had an element of chance. Prof Morley does very well in keeping things engaging and adding some sense of humour into his lectures.
My rating
Adelyne Chan completed this course, spending 1 hours a week on it and found the course difficulty to be easy.

Mathematical Biostatistics Boot Camp 1

Written 3 years ago
I took this course because I felt biostatistics would be interesting and useful for me as a biology student, struggled a little with the concepts but Prof Caffo did a good job of explaining and the exercises / assessments are very reflective of how well you know the material - makes it very easy to identify areas which need to be reviewed.

Am looking forward for Biostatistics Boot Camp II to be offered at a time that fits my schedule so I can take the follow up to this course!
My rating
Adelyne Chan completed this course, spending 6 hours a week on it and found the course difficulty to be hard.

Learning How to Learn: Powerful mental tools to help you master tough subjects

Written 3 years ago
I was of the impression that a free Statement of Accomplishment would be offered for completion of the course, but today I observed through the forums that there would be no such option. I feel that this should have been made clear from the beginning, I feel sort of cheated and thus I unenrolled from this course. Also, on the discussion forums, staff members are actively deleting threads addressing this issue - a policy which I feel should not be in place if the university were really in the spirit of global sharing of education.
My rating
Adelyne Chan dropped this course.

Advanced Competitive Strategy

Written 3 years ago
A slightly harder and more confusing version of Competitive Strategy - whilst not formally requiring CS as a prerequisite I did find this course quite difficult even having done the beginner version.

Overall the material was still very well presented and Prof Tobias and his team make a lot of effort both in the videos and in the forums to ensure ample understanding by students. Videos are also timed optimally to maximise learning capabilities. Perhaps it would help if, like some other courses, a recommended textbook or some supporting text were prescribed to support the lectures.
My rating
Adelyne Chan completed this course, spending 4 hours a week on it and found the course difficulty to be hard.

Social Psychology

Written 3 years ago
I had really high expectations for this course, and it certainly lived up to the previous reviews I had heard relating to the material and how relevant it is to daily life. Prof Plous has a very gentle and easy to follow way of explaining concepts, and the recommendation of a textbook makes it easy for students to read up more around the topic. The assignments are EXTREMELY interesting, and possibly the best part of the course. They are also helpful for everyday life, such as the application of social psychology to better CVs and getting feedback from fellow students. Evaluating the projects was also fun and I often did more than required.

The main problem I had with the course is the extremely long-winded nature of some of the lectures, it made me lose some focus and motivation (I was not looking forward to each week as much as I thought I would).
My rating
Adelyne Chan completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

Introduction to Logic

Written 3 years ago
This course started off very well, I was very drawn in to the first week while basic concepts were being presented and I felt very interested in the field of logic. This motivated me to start extremely early in the subsequent weeks (I usually wait till midweek to start on my online courses but I would start this on Monday evening) but I felt that by Week 4 the course became impossible to understand.

I feel that not enough time is devoted to really explaining how to solve logic problems as the lectures essentially just gloss over the definitions of various logic concepts. I remain interested in logic (thanks to the first week of this course) and am looking for another MOOC to take up in this subject but I would not recommend this course to beginners who are merely "interested in logic" as that motivation will not be sufficient to carry you through the material unless you are willing to invest a lot of time sourcing and working through external material such as a textbook (in which case you might as well do that and not take this course at all).
My rating
Adelyne Chan dropped this course, spending 5 hours a week on it and found the course difficulty to be very hard.

Introduction to Operations Management

Written 3 years ago
This course is wonderfully structured and has a lot of useful material which can be applied in many different industries. The assignments in particular give very realistic examples to work through, and I felt that they were adequately difficult to challenge a student's understanding of the topic.

Being the second Wharton School course which I have taken (the other being Introduction to Marketing), I am doubly impressed by the quality of MOOCs produced as both of these modules are by far the best ones I have taken so far.
My rating
Adelyne Chan completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

Network Analysis in Systems Biology

Written 2 years ago
I am a biology graduate who is now doing a Masters in Bioinformatics and I found this course extremely helpful as it covers a wide scope of topics in a (relatively) short amount of time, providing necessary background and allowing students to go off and explore particular areas of interest. The topics were generally very well explained, but the "necessary but not required" prerequisites are probably quite essentially to getting grips with the course. I also particularly appreciated there being plenty of reference materials which are directly related to the content being provided at the end of every lecture.

The main thing I didn't like about the course was the rather drawn-out demonstrations of, say, how to run specific algorithms. Unfortunately these made some of the videos very long, with little to hold interest as all the instructor was essentially doing was clicking buttons on a screen. A better approach might have been to supply some sample data which students could download and follow along as the instructor went through with the analysis, as it is generally difficult to gauge level of understanding by just watching someone else do the stuff. This could be provided as an optional extra to those interested, just the same way crowdsourcing tasks were provided, so that those who prefer to just sit back and watch can still do so without their grade being affected.
My rating
Adelyne Chan completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

Welcome to Game Theory

Written 2 years ago
My difficulty review may be slightly biased by the fact that I have taken another game theory course previously (offered on Coursera by Matt Jackson - Prof Kandori does make mention of this course in Welcome to Game Theory as well) which I found insanely difficult. In contrast, I found that this course was literally what it says on the tin, a gentle introduction to game theory. Key topics of game theory were explained very succinctly in an easy-to-understand manner and important concepts are repeated over and over again making them rather impossible to forget. Those who are looking to learn more about the mathematical aspect of game theory would probably not enjoy this course, as there is very very little maths involved, but I now at least feel a bit more prepared and am keen on taking more advanced game theory modules.
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.

Data Analysis and Statistical Inference

Written 2 years ago
A wonderful course on data analysis and statistical inference as well as the use of R (and R Studio, although there is the option for students to complete the assignments online using a DataCamp platform). I found the exercises and especially the project an extremely interesting endeavour, and the provision of an open-courseware textbook is a very nice gesture by the instructor.

For other learners, particularly those who are not particularly after a certificate and don't want to wait till the next offering of the course, it is also possible to cover the same course material through the DataCamp platform at your own leisure!
My rating
Adelyne Chan completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

Introduction to Human Behavioral Genetics

Written 2 years ago
My relatively low rating for this course is not meant to take anything away from Matt McGue and his team who provided a wonderful and well-rounded course for beginners to genetics. While the material and the way in which it was presented was very good (organised, with recommended readings and links to external resources such as Youtube videos and documentaries provided by National Geographic), I found the lectures a tad slow and difficult to sit through. There was nothing particularly wrong with the way they were presented, but I felt that the instructor just simply could not engage me with the material. I ended up mainly using the slides and going online to explore the topic more on my own rather than listening to the lectures, and as mentioned earlier the organised nature of the syllabus provided a really good structure for self-learning.
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.

Statistics and R

Written 2 years ago
A wonderfully presented course which is a part of a larger series of 8 related courses, this course covered the basics of using R and a general overview of statistics. Course material is released every week, but all the quizzes were due about 4 months after the course actually started, which allows flexibility for students. I also liked the way in which R MarkDown scripts were provided for each lecture, and working through the scripts (in text form) really reinforced the concepts covered in the video lectures. The exercises usually built on these as well, although I felt that the wording for some of the questions were quite dubious - often a lot of the time I spent on this course was figuring out what the question was asking rather than actually working on getting a solution!
My rating
Adelyne Chan completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

Psychological First Aid

Written 2 years ago
A nice and concise introduction to psychological first aid, a course which I took purely out of interest (having 0 background in the field) and I really enjoyed the experience. George Everly Jr takes a lot of care to explain all of the concepts very thoroughly, and his passion in helping others through psychological first aid really shows through.

The one thing I felt could have made the course better would have been to provide more examples, rather than using the same example video for each of the modules that were covered. I got rather bored of watching the same scenario towards the end, and would really have appreciated seeing an example of handling different sorts of situations and/or different sorts of people in need (the example showed a lady in need who was clearly in distress but had a strong sense of resilience to begin with).
My rating
Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

Introduction to Genomic Technologies

Written 2 years ago
I have a background in biology and therefore found this course relatively easy, I mainly took it for completeness as I also intend to take the other courses in this series. Jeff Leek has shown through the Data Science specialisation that he is an effective MOOC instructor and this course is no different, well organised and sets a good foundation for what I hope are other equally wonderful courses in this specialisation (I am not signed up for the specialisation, but intend to take all courses in the series) which I am very much looking forward to!
My rating
Adelyne Chan completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

Data Analysis: Take It to the MAX()

Written 2 years ago
The difficulty of the course, appropriate level and hours spent per week really varied between the first half and second half of the course. I really found the first half useful and interesting, while being challenging at the same time. Unfortunately, the second half of the course was not as well taught and the course became very frustrating.
My rating
Adelyne Chan completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

The Data Scientist’s Toolbox

Written 2 years ago
A very simple introduction to the tools used in data science, mainly to get students acquainted with using GitHub repositories and RStudio. I took this because it was recommended for the other courses in the specialisation, but if you are comfortable with using virtual tools it is probably possible to learn on the job with the subsequent courses. This course could feasibly be completed in a single sitting.

Although I intend to take all the courses in the specialisation for its content (thus did not pay for a Verified Certificate), I am aware that a number of other people who are taking this for the specialisation did feel that it was not worth the money they paid given the very little content covered.
My rating
Adelyne Chan completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

Genomic Data Science with Galaxy

Written 2 years ago
This course is so inconsistent I don't even know how to write a short review on it. Content-wise, from the videos, there is nothing too difficult and most of the topics taught are fairly easy to follow. The same goes for the quizzes where most of the content is from the lectures, or simple analyses to be performed on provided datasets on the Galaxy web platform.

Cut to the course project and it is a completely different story. The execution of the project is extremely poor, there is insufficient background information provided in the lectures and the course project instructions themselves are vague. I understand the nature of genomic data science which involves a lot of collaboration and searching on the web for the appropriate tools (as pointed out by the instructor on the forums, who also encouraged free discussion on the forums wrt the project), but some level of background and/or forum support by staff needs to be provided.

On the bright side I have never seen such a collaborative group of students on a MOOC, when anyone had an issue almost immediately someone would jump in and clarify a concept or try to explain how to do a task (well, we had to since the staff weren't very helpful). The evaluations were nearly as difficult as doing the course project to start with, and I get the vibe that most people were just giving everyone full marks just because they did not know how to or it was just too time consuming to perform a proper evaluation which is a pity as peer evaluation is a wonderful opportunity to learn.

The other major problem faced was a topic covered in the videos which was aimed at more advanced students where the instructor demonstrated how to set up a local instance of Galaxy supported by Amazon Web Services. I watched the video but did not attempt to do so myself, but because terminating the instance was not covered in the lectures many people who did try out what the instructor was demonstrating found themselves being charged hefty sums by Amazon because of the continued use of cloud services (I think the highest charge I saw was over 700 dollars). Naturally students weren't too happy about that!

Galaxy is a tremendously useful platform but this course probably isn't the way to go to learn how to use it. There are many tutorials on Galaxy itself which are probably as informative as doing this course.
My rating
Adelyne Chan completed this course, spending 10 hours a week on it and found the course difficulty to be very hard.

Statistics: Unlocking the World of Data

Written 6 months ago
Note: Although this course is slated as being for beginners, I do have experience of learning statistics in university. Admittedly slightly out of touch with the field, but looking to take more advanced courses in handling big data so I thought this would be a nice refresher session. I didn't really see the need for a certificate, so I took this course in Audit Mode on EdX but I completed all the course materials and exercises.

TL;DR version: Good course for understanding basics of statistics, accessible to beginners but questions designed at reinforcing concepts in a more real-world setting can be somewhat misleading.

The course itself is nicely structured, with the video lectures mostly formatted around conversations between the lead instructor and one of several other supporting instructors who are all introduced in the first video. Concepts are very accessible to beginners and lectures are filled with real-life examples to help relate - this is something I've always felt difficult to get to grips with when it comes to statistics. There is also much less emphasis on the actual computing, but more towards understanding how to use values like p-Value and t-Value, so students only really need to know which test to use and how to interpret the results rather than the nuts and bolts of how they are actually computed.

Many of the exercises include interactive applets (built in to EdX, worked fine for me but a friend who was taking the course at the same time had some trouble getting it to work) which really help to demonstrate how the statistical values that output differ based on different inputs.

My main problem with the course is quite sadly with the exercises, which can be quite subjective and therefore a) frustrating and b) confusing. When an incorrect answer is submitted, there is often a hint pointing in the right direction but having completed the course I have to say there are some which I don't necessarily agree with that I feel have nothing to do with statistics.

All in all though I think it was a good experience, and would recommend to other learners especially those who are new to statistics.

My rating
Adelyne Chan completed this course, spending 3 hours a week on it and found the course difficulty to be medium.