Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community and to the general public that it will offer short courses in statistics between 10th DECEMBER up to 14th DECEMBER 2019.
Registration for the short course
The registration fee is 30,000/=Tshs, per a day. Registration would be made upon your arrival in a venue at iAGRI building. Please notice that the fee does not cover cost for lunch. Each peson will cover his/her own cost for lunch.
Contact Maria Celestine via the following address to confirm your participation.
Email: mary.b.celestine@gmail.com
Mobile: 0713-301033
Who should attend?
Any scholar/researcher such as a postgraduate student /instructor/project manager/quality controller/evaluator /M&E officer e.t.c is highly encouraged to attend. You are all welcomed to attend.
How you will benefit from the course(s)
Each course will provide participants with practical skills to be able to effectively implement a real-life related problem needing statistical skills application.
Venue
The venue for all of these courses would be in iAGRI building, Sokoine University of Agriculture, Main Campus
Absract
Research is all about providing evidence for existence of a certain hypothesized scenario. However providing evidence in some discplines especially in social science is not as easy as one could think. Evidence can easily be given in experimental studies involving among others the principle of randomization. Unfortunately, randomization is not always possible especially in studies involving human beings. The question therefore is how do we provide evidence of causation in social science studies? Please come and learn/discuss one among the interesting topics in Statistics. This time around Statistical methods for Impact Evaluation will be taught wih a case study on ‘Impat of free education policy on secondary schools’ education performance”. Apart from Impact Evaluation, Introduction to STATA shall be taught as a pre-requiste. In addition R softwares will also be taught.
You are warmly welcomed !
TIMETABLE
Date |
Time |
Session |
Trainer |
10/12/2019 |
9am to 11am |
Introduction to Statistics |
Miss Farida/Dr.Kazuzuru |
|
11am to 12pm |
Introduction to STATA |
Miss Farida/Dr.Kazuzuru |
|
12pm to 1pm |
Lunch Break |
|
|
1pm to 3pm |
Introduction to R |
Mr.Issa Mohamed/Miss Farida |
11/12/2019 |
9am to 11am |
Introdution to R |
Mr.Issa Mohamed/Miss Farida |
|
11am-12pm |
Graphics with R |
Mr.Issa Mohamed/Miss Farida |
|
12pm to 1pm |
Graphics with R |
Mr.Issa Mohamed/Miss Farida |
|
1pm to 3 pm |
Analysis with R |
Mr.Issa Mohamed |
12/12/2019 |
9am to 11am |
Introduction to Statistical Mehods for Impact Evaluation |
Dr.Kazuzuru |
|
11am to 12pm |
Inroduction to Multiple linear regression as a method for Impact Evaluation |
Dr.Kazuzuru |
|
12pm to 1pm |
Lunch Brak |
|
|
1pm to 3pm |
Introction to Propensity Score matching |
Dr.Kazuzuru |
13/12/2019 |
9an-11am |
Difference in Difference Method |
Dr.Kazuzuru |
|
11am-12pm |
Difference in Difference Method with panel data regression |
Dr.Kazuzuru |
|
12pm -1pm |
Lunch Break |
|
|
1pm- 3pm |
Randomized Control Trial |
Dr.Kazuzuru |
14/12/2019 |
9am-11am |
Instrumental Variable Technique as method for Impact Evaluation |
Dr.Kazuzuru |
|
11am-12pm |
Instrumental Variable Technique as method for Impact Evaluation |
Dr.Kazuzuru |
|
12pm-1pm |
Lunch break |
All |
|
1pm- 3pm |
Regression Discontinuity Design (RDD) as a method for Impact Evaluation |
Dr.Kazuzuru |
|
3pm- 6pm |
Regression Discontinuity Design(RDD) as a method for Impact Evaluation |
Dr.Kazuzuru |