EMET7001#

Course title: Mathematical Techniques for Economic Analysis

  • Compulsory first math course in the Master of Economics program

Lectures and assessments#

Week

Date

Topic

Notes

1

Feb 20

๐Ÿ“– Introduction to mathematical economics
โ˜•๏ธ Wason selection paradox

2

Feb 27

๐Ÿ“– Sets, numbers, coordinates, and distances

Tutorials start

๐Ÿ”ฌ Tutorial problems (alpha)

3

March 5

๐Ÿ“– Mappings: functions and correspondences

๐Ÿ”ฌ Tutorial problems (beta)

March 11

Online test 10% link

30min, open book

4

March 12

๐Ÿ“– Equations and inequalities
โ˜•๏ธ Numerical equation solving

๐Ÿ”ฌ Tutorial problems (gamma)

5

March 19

๐Ÿ“– Sequences, series and convergence

๐Ÿ”ฌ Tutorial problems (delta)

March 25

Online test 10% link

30min, open book

6

March 26

๐Ÿ“– Univariate differentiation

๐Ÿ”ฌ Tutorial problems (epsilon)

Teaching break

2 weeks

7

April 16

๐Ÿ“– Vector and matrix arithmetics

๐Ÿ”ฌ Tutorial problems (zeta)

April 22

Online test 10% link

30min, open book

8

April 23

๐Ÿ“– Linear systems of equations

๐Ÿ”ฌ Tutorial problems (eta)

9

April 30

๐Ÿ“– Multivariate differential calculus (1)

๐Ÿ”ฌ Tutorial problems (theta)

May 6

Online test 10% link

30min, open book

10

May 7

๐Ÿ“– Multivariate differential calculus (2)

0

๐Ÿ”ฌ Tutorial problems (iota)

11

May 14

๐Ÿ“– Univariate integration

1

๐Ÿ”ฌ Tutorial problems (kappa)

May 20

Online test 10% link

30min, open book

12

May 21

๐Ÿ“– Univariate integration
๐Ÿ“– Revision

12

Consultation hours

Final exam 50%

3h, invigilated

Course web pages#

Class summary

  • Official course description

Wattle page

  • Announcements

  • Recordings

  • Assessments

  • Grades

math.iskh.me

  • sufficient lecture notes

  • downloadable as markdown or pdf

  • GitHub based

  • submit issues and typos through the provided button

  • Latest version of the notes a day before the lecture

  • check for the updates in the morning

Course convener and lecturer#

Professor Fedor Iskhakov

_images/f2.jpg

Iโ€™m an applied micro-econometrician and a computational economist working in the field of structural estimation of dynamic models of individual and strategic choice, with applications to labor economics, public economics, durable goods markets, household finance, applied industrial organization and dynamic games.

Tutoring team#

Dr. Yurui Zhang

_images/Yurui_Zhang.jpg
  • Email: yurui.zhang@anu.edu.au

  • Web: Personal page

  • Room: Crisp bldg, office 2060B

  • Office hours: Thursday 3pm to 4pm

Van Anh Pham

_images/Van_Anh_Pham.jpg
  • Email: VanAnh.Pham@anu.edu.au

  • Room: Copland bldg, office 1114

  • Office hours: Friday 1pm to 2pm

Lecture times#

  • Lectures: Tuesday 10:00 โ€” 12:00

  • Location: Law Theatre, Law Bldg 5

  • Echo-360 recordings on Wattle

  • Face-to-face is strictly preferred

Tutorial times#

Day

From

To

Room

Wednesday

12:30

13:30

G8, PAP Moran Bldg 26B

Wednesday

13:30

14:30

G8, PAP Moran Bldg 26B

Thursday

14:00

15:00

G8, PAP Moran Bldg 26B

Thursday

15:00

16:00

G8, PAP Moran Bldg 26B

Friday

9:00

10:00

G8, PAP Moran Bldg 26B

Friday

10:00

11:00

G8, PAP Moran Bldg 26B

Assessment#

Online tests, 10% each#

  • 30 min long timed assignment

  • administered online through the Wattle site

  • one day during which to attempt this task

  • consists of some number of questions: multiple choice, true or false, short answer, or single numeric answer

  • immediate feedback

  • each assignment is worth 10% of your raw overall mark for this course

  • no late submissions will be accepted

  • not submitted by the due date โ€” mark of zero

  • will include material from the two lectures and tutorials prior to the test

Computerized quizzes are located at the course Wattle page

Final exam, 50%#

  • Classic close book on-campus

  • Invigilated

  • 3-hour exam

  • Only writing materials allowed

  • Covers the material from the whole semester!

  • More information will be provided in Week 10, with practice examples discussed prior to the exam

  • Will be held during the examination period May 30 to June 16

Note on lectures notes#

  • Cover exactly what you are required to know

  • Code inserts are the exception, they are not assessable

In particular, you need to know:

  • The definitions from the notes

  • The facts from the notes

  • How to apply facts and definitions

If a concept in not in the lecture notes, it is not assessable

Reading materials#

  1. Primary reference: lecture notes

  2. Essential mathematics for economic analysis (fifth edition)
    by Sydsรฆter, Hammond, Strรธm and Carvajal

[Sydsรฆter, Hammond, Strรธm, and Carvajal, 2016]:

_images/shsc2016.png
  • each lecture will reference book chapters in Sydsรฆter et.al., 2016

  • each lecture will give additional references for self-study

How tutorials will be conducted?#

  • practical exercises

  • posted with the corresponding lecture

  • try to solve the exercises before the tutorial

  • exercises solved and discussed at the tutorial

  • participation is highly recommended

  • if you solve all tutorial excesses, you will be able to solve all practical problems in the exams

  • solutions to selected problems posted a week after

Tutorials start on week 2

Where to send your questions#

  1. Administrative questions: RSE admin

    • Bronwyn Cammack Senior School Administrator

    • Email: enquiries.rse@anu.edu.au

    • โ€œI can not register for the tutorial groupโ€

  2. Content related questions: please, refer to the tutors

    • โ€œI donโ€™t understand why this function is convexโ€

  3. Other questions: to Fedor

    • โ€œIโ€™m working hard but still can not keep upโ€

    • โ€œCan I please have extra exercises for more practiceโ€

Attendance#

  • please, do not use email for instructional questions

  • instead make use of the office hours

  • attendance of tutorials is very highly recommended
    You will make your life much easier this way

  • attendance of lectures is highly recommended
    But not mandatory

Summary#

  • Tutorials start next week, please register before the next lecture

  • Course content = whatโ€™s in lecture notes

  • Lecture notes are available online and will be updated throughout the semester

Reference#

These lecture notes are largely based on the teaching materials by Dr. Damien Eldridge