Courses

Undergraduate Course 

Bachelor of Arts in Economics (B.A. Economics) with Ch.E.

      The department offers undergraduate degree programme in Economics with Chartered Economist Certification. The degree is offered by Kannur University while the certification is offered by American Academy of Financial Management (AAFM). Hedge School of Applied Economics provides training for the certification programme during the degree programme. As per the updated curriculum of the University, the programme's core course is Economics along with the elective courses offered in the first and second years of study.

Non-Credit Courses

1. Certificate Course in Data Analysis Using Statistical Package for Social Sciences (SPSS)

Course Outcomes

• Students’ familiarity about the tool box of statistical software.
• Capacitating students in analysing complex information with the help of statistical software –
• Statistical Package for Social Sciences (SPSS).
• A strong theoretical and empirical foundation in statistical analysis.

Duration of the Course

        The course is structured to be a non-credit course offered to under graduate students and the duration of the course is 30 hours, of which 25 hours are designed to provide in-lab-training to the students and the rest of the hours are designed to provide theory classes. 

Criteria for Awarding the Course Certificate

1. This course is compulsory for all first year undergraduate students of Economics in the college.
2. Students shall have at least 75% attendance to complete the course.
3. The course is framed to be of 30 hour duration.
4. The total score of the course will be 50 out of which 10 marks are assigned for internal and 40 marks are for the proctored exam.
5. The course coordinator will be in charge of the examinations. Two assignments of 5 marks each will be given during the course. Course end examination will be conducted on SPSS software out of 40 marks.
6. The students shall attend and pass the exam, which will be completed at the end of the course, with at least 40% marks.
7. Students shall secure 40% marks in proctored assignments as well as in the exam.

Grading Pattern

Marks in Percentage	Grade	Interpretation
90 and Above	A+	Outstanding
80-89	A	Excellent
70-79	B	Very good
60-69	C	Good
50-59	D	Satisfactory
40-49	E	Pass/Adequate
Below 40	F	Failure

Syllabus

Module I: Introduction to SPSS (4 Hours)
            SPSS Environment: data editor, output viewer, syntax editor – Data view window – SPSS Syntax – Data creation – Importing data – Variable types in SPSS and Defining variables – Creating a Codebook in SPSS.

Module II: Working with Data (6 Hours)
            Computing Variables - Recoding (Transforming) Variables: Recoding Categorical String Variables using Automatic Recode - Rank Cases - Sorting Data - Grouping or Splitting Data.

Module III: Exploring Data (10 Hours)
            Descriptive Statistics for Continuous Variables - The Explore procedure - Frequencies Procedure – Descriptives - Compare Means - Frequencies for Categorical Data.

Module IV:  Analysing Data (10 Hours)
             Inferential Statistics for Association: Pearson Correlation, Chi-square Test of Independence – Inferential Statistics for Comparing Means: One Sample t Test, Paired-Samples T Test, Independent Samples T Test, One-Way ANOVA.