Econometrics and programming
The course is implemented with lectures, seminars and lab excercises.
The course covers numerical optimization, linear programming and linear and nonlinear regression.
Information from the course leader
A warm welcome to the Swedish University of Agricultural Sciences and the course Econometrics and programming!
Below, you will find general information about the student account, registration for the course and other practical information:
The student account
You will need your student account to access e.g. your e-mail, Ladok and Canvas. For information regarding how to create your student account, see here: https://student.slu.se/en/study-support/it-support/support/new-student---start/
Registration for the course
Self-registration for the course is done in Ladok between 2021-08-16 and 2021-08-30. Remember that you must be admitted and registered to take the course.
If you have been admitted to the course with conditions, you need to send your credit list to the course leader who will review them and decide if you can register. Do this as soon as possible as reviewing credits may take a few days due to the course start.
Educational support
If you are entitled extra educational support, please inform the course leader at the start of the course so that special arrangements can be made. For educational support for an exam, contact the educational administrator at econ-edu@slu.se along with your certificate from Nais 15 workings days prior to the examination. More information here: https://student.slu.se/en/study-support/study-support/funka/.
Discontinuation of a course
If you want to discontinue the course, you should immediately notify the educational administrators at econ-edu@slu.se, who in turn will inform the course leader and register a non-completion of the course in Ladok after your approval. You are also able to register an early non-completion of the course (within three weeks after course start) in Ladok yourself.
Exams
You will automatically be registered for the first exam of the course in Ladok Student. You can find your anonymity code in Ladok Student. Please note that you still have to register yourself for the re-exam in Ladok Student. This applies only to exams and re-exams within the Department of Economics.
Corrected exams can usually be collected Wednesdays from 12.30 - 14.30 in room D416 or D417 in Ulls Hus. Due to Covid, it is best to contact econ-edu@slu.se to get help with collection of your exam.
Are you a new student? Find more information here: https://student.slu.se/en/studies/new-student/uppsala/.
Do not hesitate to contact us at econ-edu@slu.se if you have any questions!
Kind regards,
The administration
Course evaluation
The course evaluation is now closed
NA0179-10250 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for NA0179
Academic year 2022/2023
Econometrics and programming (NA0179-10142)
2022-08-29 - 2022-10-31
Academic year 2020/2021
Econometrics and programming (NA0179-10213)
2020-08-31 - 2020-11-01
Academic year 2019/2020
Econometrics and programming (NA0179-10180)
2019-09-02 - 2019-10-31
Academic year 2018/2019
Econometrics and programming (NA0179-10228)
2018-09-03 - 2018-11-11
Syllabus and other information
Syllabus
NA0179 Econometrics and programming, 15.0 Credits
Ekonometri och programmeringSubjects
Economics EconomicsEducation cycle
Bachelor’s levelModules
| Title | Credits | Code |
|---|---|---|
| Theory and applications | 12.0 | 0302 |
| Project | 3.0 | 0303 |
Advanced study in the main field
First cycle, has less than 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G1F)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
EnglishPrior knowledge
Knowledge equivalent to 30 hp economics. English 6.Objectives
The objective of this course to expose students to major quantitative methods and tools used to analyze the behavior of economic agents (firms, consumers and policy makers) involved in the agri-food and natural resource sectors, and/or facing issues or problems of environmental kind.
After succesful completion of the course, students will be able to:
conceptualize and solve decision problems in economics using linear programming,
use computer software in solving optimization problems or models,
conceptualize empirical economic problems based on theoretically founded hypotheses,
estimate linear regression models and be able to interpret the corresponding marginal effects from a statistical and economic point of view,
account for major violations of the Ordinary Least Squares Estimator (OLS), as well as corresponding diagnostic tests and conventional remedies.
Content
The course is implemented with lectures, seminars and lab excercises.
The course covers numerical optimization, linear programming and linear and nonlinear regression.
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
Passed exam.
Passed project report.
Passed assignments.
Participation in mandatory seminars.
- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
- For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Responsible department
Department of Economics
Further information
Grading criteria
Theory and application constitute 12 Credits and the project work constitutes 3 credits
Theory and application (12 Credits): Written exam: will constitute 80 percent of the final grading. <= 49 points, fail/> 49 points, pass (3)/ > 70 points, Pass with credit (4)/> 85 points, Pass with distinction (5).
Project Work (3 credits): Will constitute 20 percent of the final grading. Fail/Pass
You must pass both Theory and Application and Project to complete the course.
Litterature list
- Introduction to Econometrics. Fourth Edition Författare: James H. Stock & Mark W. ISBN: The 4th Edition, Global Edition [Introduction to Econometrics. Fourth Edition] (https://www.bokus.com/bok/9781292264455/introduction-to-econometrics-global-edition/) Kommentar: The book can be found at different bookshops. E.g. Bokus, Adlibris,