Category: SMU General

Hard to study for because there’s no clear definition of what’s right or wrong. I found it helpful to apply all the concepts learnt in class to the assignments and consult with Prof to get a clearer understanding of what he wants to see.

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I was pre-assigned STAT151 (Now COR-STAT1203) in AY1920 Term 1 (Your mileage may vary). The course is meant to provide you with a basic understanding of statistics, as Economics is heavily tied with statistics. From my interactions with my peers, different Professors teach the module differently. Basic probability is necessary for statistics, so both are usually covered. However, different some Professors place a greater emphasis on probability and covers more topics in that field while others do the minimum and focus more on Statistics. Having done statistics before would be good, but not necessarily advantageous. Instead of having a graphing calculator to compute like in the past, most of the calculation done now are purely by formulae. Being comfortable with numbers and solving equations is much more beneficial as many of the concepts will always be new, so being able to comfortably understand them is key.

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This course covers matrices (including matrix operations, inversion) and systems of linear equations (including their solutions by Gauss elimination and matrix operations). Determinants, co-factors, Cramer’s rule, Euclidean space, general vector spaces, sub-spaces idea, linear independence, dimension, row, column, and null spaces concepts will be introduced. We will also discuss norms, distance ideas, operations such as inner product, concepts of orthogonal bases, and Gram-Schmidt orthogonalization. Eigenvalues, eigenvectors, eigenspaces, eigenbases and their applications will be taught. There will be three special topics which cover quadratic forms, positive definiteness and Least squares solution. In addition, functional language programming will be incorporated such as MatLab and Excel VBA

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This course introduces students to the conceptual and pragmatic skills necessary for analyzing and devising public policy. On the one hand, the course exposes students to the methods and concepts that make up the tool-box of the contemporary policy analyst. On the other hand, by using these tools to make sense of real-life policy issues and political processes in South-East Asia and elsewhere, the course also introduces students to the more pragmatic “craft” aspects of producing incisive analysis relevant to policy actors in real policy-making environments.

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The module was largely quantitiative with some theory mixed in. Need to practice a lot through the practice questions given in class and the practice papers. However, the mid terms and final exams will definitely have some tricky questions that he did not go through in class and that will be the differentiator for the module

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MPW is a really boring module that doesn’t offer much to learn. It’s generally about – you guessed it – managing people. The content is mostly just fluff. It does touch on organisational behaviour and some basic human psychology, but most of the content seems common-sensical, to the point where I found myself questioning why this is a university module. The textbook is not necessary if your prof provides useful slides (mine did but I understand from a friend that this is not the case with every prof), otherwise it’ll be mandatory since you have pretty much nothing else to refer to. The test(s) is just a measure of how well you can memorise the textbook content and vomit it out during the exams. 

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The course seeks to enable students to understand the fundamental principles that govern all music through an active and critical approach. It will provide students an opportunity to evaluate the rich heritage of Singapore in relation to the other musical cultures of the world. The course will explore issues and concerns of the world’s musical cultures in the new millennium and the importance of appreciating and protecting our sonic environment.

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This course will cover fundamentals of relational database theory, important data management concepts such as data modeling, database design, implementation, data access, and practical data-related issues in current business information systems. 

A series of homework assignments, in-class exercises and course project will help students understand covered topics. Students are expected to apply knowledge learned in the classroom to solve many problems based upon real-life business scenarios, while gaining hands-on experiences in designing, implementing, and managing database systems.

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This course aims to teach students the basic skills of evaluating arguments and constructing arguments. At the end of the course students should be able to identify the structures of real-life arguments in order to decide if they are good or bad, and to argue logically about things that matter.

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