Chris Heaton was a great convenor and lecturer but may not be teaching next sem so watch out.

I really enjoyed this subject more than I thought I would. Chris takes a few weeks to get used to but once you do, content is explained well and makes sense. Good to pair with Afin2070 as they cover a lot of the same topics.

Not a difficult unit. A very interesting one. Calculus is not needed but some maths are required (e.g. algebra, basic log and prob/stat). Assignments and quizzes rely heavily on lecture material. Furthermore, if you feel like you're struggling, I STRONGLY recommend the textbook (if you hate reading them like me, just skim to the sections you need more clarification in + txtbook questions are useful for more practice). This unit is one where if you put in the work, you'll definitely do well. It prepares you well for the final exam :) P.S. If Chris Heaton still runs the unit, lucky you.

Introductory econometrics is exactly what it says. This unit will introduce you to the concepts of econometrics that will be built upon all the way into third year. This course begins with probability, not a very good introduction but enough for the unit, the rest of the unit is studying linear regression and then multiple regression. I highly recommend the text and reading it BEFORE the lecture. The text is very easy to read and makes the lectures more about using the software Gretl than just the theory. Exams and assignments will be heavy on Gretl so get a good understanding of how to use it in the tutorials and lectures. Not a terribly hard unit.

Econ and stats in one

Essentially regression. You learn simple & multiple regression in cross-sectional data context. Attempt the weekly quizzes & tutorial questions so you are familiar with the style of questions they often ask. Don't worry too much about the math if you don't intend to build a deep understanding of regression. Also, do all the recent past exams. One minus thing from me is the use of an outdated software. Other unis use STATA which is a lot more popular. Why not use that in this course?

This unit introduces some basic econometric techniques, which are used extensively in marketing and finance. Topics covered will usually include: estimation and hypothesis testing; simple and multiple regression; prediction; the interpretation and evaluation of regression models, including an elementary discussion of nonlinear modelling, heteroscedasticity, auto-correlation, multicollinearity and specification error; and the use of categorical or qualitative data in regression models.

Even this is the very fundamental econometric course, the emphasis is the statistical distribution ( normal distribution and student't distribution) and its application in the confidential interval, hypothesis test and parameters estimation.

Its pretty practical. Gives a look inside an Economists life a bit. But very easy. But you still need to put in time and effort.

Not as difficult as you think.