Undergraduate Course: Essentials of Econometrics (ECNM10052)

Course Outline
School	School of Economics	College	College of Humanities and Social Science
Credit level (Normal year taken)	SCQF Level 10 (Year 3 Undergraduate)	Availability	Available to all students
SCQF Credits	20	ECTS Credits	10
Summary	Essentials of Econometrics (EE) provides an opportunity to learn skills that are important for later stages of the Economics programme, and many future career and life contexts. EE aims to ensure that all economics honours students have a sound grasp of the basic techniques of modern empirical economics. The topics covered are likely to include: statistics (review of probability distributions, statistical inference, estimation and hypothesis testing); the linear regression model (two-variable model, multiple regression, functional forms, dummy variables); regression analysis in practice (model selection criteria and tests, multicollinearity, heteroskedasticity, autocorrelation). EE includes weekly lab sessions to reinforce lectures, with exercises which foster 'learning-by-doing'. The course provides an opportunity to develop and practice key practical skills in computing, data gathering, processing, analysis and presentation.
Course description	Not entered

Entry Requirements (not applicable to Visiting Students)
Pre-requisites	Students MUST have passed: Economics 2 (ECNM08006)	Co-requisites
Prohibited Combinations		Other requirements	Pre-requisite: Economics Honours entry or the permission of the course leader.
Additional Costs	None

Information for Visiting Students
Pre-requisites	Visiting students should usually have at least 3 Economics courses at grade B or above (or be predicted to obtain this) for entry to this course. This MUST INCLUDE courses in both Macroeconomics and Microeconomics. We will only consider University/College level courses.

Course Delivery Information

Academic year 2015/16, Available to all students (SV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Lecture Hours 18, Seminar/Tutorial Hours 13.5, Supervised Practical/Workshop/Studio Hours 12, Summative Assessment Hours 5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 147 )
Assessment (Further Info)	Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment)	Mini project (20%) Mid-term MCQ test (10%) 1.5 hour MCQ class exam in December (10%) 2 hour degree exam in April/May (60%) The degree examination must be passed in order to pass the course, where the degree exam is failed the final mark recorded for the course will be the degree exam mark. Visiting Student Variant Assessment Mini project (20%) Mid-term MCQ test (10%) 1.5 hour MCQ exam in December (10%) Extended problem set (60%)
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S1 (December)	Essentials of Econometrics		1:30
Main Exam Diet S2 (April/May)			2:00

Academic year 2015/16, Part-year visiting students only (VV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Lecture Hours 18, Seminar/Tutorial Hours 13.5, Supervised Practical/Workshop/Studio Hours 12, Summative Assessment Hours 3, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 149 )
Assessment (Further Info)	Written Exam 20 %, Coursework 80 %, Practical Exam 0 %
Additional Information (Assessment)	Mini project (20%) Mid-term MCQ test (10%) 1.5 hour MCQ class exam in December (10%) 2 hour degree exam in April/May (60%) The degree examination must be passed in order to pass the course, where the degree exam is failed the final mark recorded for the course will be the degree exam mark. Visiting Student Variant Assessment Mini project (20%) Mid-term MCQ test (10%) 1.5 hour MCQ exam in December (10%) Extended problem set (60%)
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S1 (December)			1:30

Learning Outcomes
After successful completion of this course students will have developed an understanding of the essential techniques of econometrics and an ability to apply these techniques in a variety of contexts. The course emphasises general skills such as: critical analysis and assessment; reasoning adaptably and systematically, problem-framing and problem-solving; and practical skills in data analysis and interpretation.

Reading List
None

Additional Information
Graduate Attributes and Skills	Not entered
Additional Class Delivery Information	Students are ALSO expected to attend weekly tutorials (start in week 2) and computer lab sessions (start in week 3).
Keywords	EofE