| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Group 1 |
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Following programme components must have been included in your study programme in a previous education period
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Business statistics (1738)
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6.0 stptn |
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Or group 2 |
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Following programme components must have been included in your study programme in a previous education period
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Inleiding tot kanstheorie en statistiek (3319)
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4.0 stptn |
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 3rd Bachelor of Business and Information Systems Engineering | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| The holder of the degree works in a team with a view to a multidisciplinary approach to a business problem. (Teamwork) | - EC
| The holder of the degree communicates in a business context in writing and orally, and if necessary with visual support. (Communication) | - EC
| The holder of the degree selects and implements scientific research methods under supervision. (Research skills) | - EC
| The holder of the degree analyses, interprets, evaluates and reports research results under supervision. (Research skills) | - EC
| The holder of the degree applies insights from business science and relevant supporting/related disciplines in the analysis of business and information technology problems. (Problem-solving capacity) | - EC
| The holder of the degree uses IT applications and possesses the basic programming skills to translate financial and technical business data into business-relevant information. (Programme-specific competencies) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing).
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Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.
Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.
The following topics will be handled:
*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.
*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.
*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.
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- The student has a thorough background knowledge of basic concepts of statistics. For instance see course Beleidsstatistiek (1738, 2 Bach HI/BI).
- The student has a thorough background knowledge of basic concepts of mathematics (see additional document Basic Mathematical Tools).
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | Written exam counts for 100% of the final grade. |
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| Compulsory textbooks (bookshop) |
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Introduction to Econometrics (Updated 3rd Edition),Stock J.H. & Watson M.W.,4th Edition,Pearson |
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| Compulsory course material |
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- PowerPoints (S&W)
- Companion website of the S&W textbook http://wps.aw.com/aw_stock_ie_3/.
- Test Bank (Stock & Watson), self-study materials
- Solution of exercises and empirical exercises
- "R Studio" tutorial
- "Basic Mathemathical Tools" (Wooldridge)
- Additional lecture notes posted on BB
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| 3rd Bachelor of Business Engineering | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The holder of the degree works in a team with a view to a multidisciplinary approach to a business problem. (Teamwork) | - EC
| The holder of the degree communicates in a business context in writing and orally, and if necessary with visual support. (Communication) | - EC
| The holder of the degree selects and implements scientific research methods under supervision. (Research skills) | - EC
| The holder of the degree analyses, interprets, evaluates and reports research results under supervision. (Research skills) | - EC
| The holder of the degree applies insights from business science and relevant supporting/related disciplines in the analysis of financial and technical business problems. (Problem-solving capacity) | - EC
| The holder of the degree has a command of IT applications and the basic programming skills necessary to translate financial and technical business data into business-relevant information. (Programme-specific competencies) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing).
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|
Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.
Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.
The following topics will be handled:
*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.
*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.
*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | Written exam counts for 100% of the final grade. |
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| Compulsory textbooks (bookshop) |
| |
Introduction to Econometrics (Updated 3rd Edition),Stock J.H. & Watson M.W.,4th Edition,Pearson |
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|
| Compulsory course material |
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- PowerPoints (S&W)
- Companion website of the S&W textbook http://wps.aw.com/aw_stock_ie_3/.
- Test Bank (Stock & Watson), self-study materials
- Solution of exercises and empirical exercises
- "R Studio" tutorial
- "Basic Mathemathical Tools" (Wooldridge)
- Additional lecture notes posted on BB
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| Preparation Programme Master of Business Engineering | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing).
|
|
|
|
Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.
Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.
The following topics will be handled:
*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.
*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.
*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | Written exam counts for 100% of the final grade. |
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|
|
|
| Compulsory textbooks (bookshop) |
| |
Introduction to Econometrics (Updated 3rd Edition),Stock J.H. & Watson M.W.,4th Edition,Pearson |
|
|
| Compulsory course material |
| |
- PowerPoints (S&W)
- Companion website of the S&W textbook http://wps.aw.com/aw_stock_ie_3/.
- Test Bank (Stock & Watson), self-study materials
- Solution of exercises and empirical exercises
- "R Studio" tutorial
- "Basic Mathemathical Tools" (Wooldridge)
- Additional lecture notes posted on BB
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| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| |
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|
Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing).
|
|
|
|
Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.
Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.
The following topics will be handled:
*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.
*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.
*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.
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Lecture ✔
|
|
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Response lecture ✔
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Small group session ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 20 % |
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|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | Written exam counts for 100% of the final grade. |
|
|
|
|
|
| Compulsory textbooks (bookshop) |
| |
Introduction to Econometrics (Updated 3rd Edition),Stock J.H. & Watson M.W.,4th Edition,Pearson |
|
|
| Compulsory course material |
| |
- PowerPoints (S&W)
- Companion website of the S&W textbook http://wps.aw.com/aw_stock_ie_3/.
- Test Bank (Stock & Watson), self-study materials
- Solution of exercises and empirical exercises
- "R Studio" tutorial
- "Basic Mathemathical Tools" (Wooldridge)
- Additional lecture notes posted on BB
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| Bachelor of Mathematics - verbreding economie A | Broadening | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| EC 11: A graduate of the Bachelor of Mathematics programme has acquired basic knowledge in another scientific discipline. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing).
|
|
|
|
Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.
Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.
The following topics will be handled:
*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.
*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.
*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 20 % |
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | Written exam counts for 100% of the final grade. |
|
|
|
|
|
| Compulsory textbooks (bookshop) |
| |
Introduction to Econometrics (Updated 3rd Edition),Stock J.H. & Watson M.W.,4th Edition,Pearson |
|
|
| Compulsory course material |
| |
- PowerPoints (S&W)
- Companion website of the S&W textbook http://wps.aw.com/aw_stock_ie_3/.
- Test Bank (Stock & Watson), self-study materials
- Solution of exercises and empirical exercises
- "R Studio" tutorial
- "Basic Mathemathical Tools" (Wooldridge)
- Additional lecture notes posted on BB
|
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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