TRLM Cluster Coordinator Syllabus 2020
As we are going to present the details of the TRLM Cluster Coordinator 2020 Syllabus which will help the aspirants to the preparation for the TRLM Cluster Coordinator exam and also help to get the details of the TRLM Cluster Coordinator Exam 2020.
TRLM Cluster Coordinator Syllabus 2020
General Studies Syllabus
1. Events of national and international importance.
2. Indian polity and governance
3. General Science & its applications to the day to day life Contemporary developments in Science and Technology and IT.
4. Current affairs- international, national and regional.
5. Data Analysis:
a) Tabulation of data
b) Visual representation of data
c) Basic data analysis and Interpretation
6. Sustainable Development and Environmental Protection
Mental Ability Syllabus
1. Data Interpretation.
2. Directions.
3. Analogy.
4. Non-Verbal Series.
5. Syllogism.
6. Embedded Figures.
7. Statements & Arguments.
8. Statements & Conclusions.
9. Mirror Images.
10. Arithmetical Reasoning.
11. Number Series.
12. Alphabet Series.
13. Number Ranking.
14. Coding-Decoding.
15. Clocks & Calendars.
16. Blood Relations.
17. Decision Making.
18. Cubes and Dice.
Numerical Ability Syllabus
1. Blood Relations.
2. Height and Distance.
3. Area.
4. Time and Distance.
5. Partnership.
6. Data Interpretation.
7. Ratio and Proportion.
8. Simple Interest.
9. Decimal Fraction.
10. Boats and Streams.
11. Logarithm.
12. Problems on H.C.F & L.C.M.
13. Simplification.
14. Clocks & Calenders.
15. Compound Interest.
16. Surds and Indices.
17. Allegation or Mixture.
18. Problems on Ages.
19. Average.
20. Time and Work.
21. Probability.
22. Permutation and Combination.
23. Chain Rule.
24. Square Root and Cube Root.
25. Pipes and Cistern.
26. Volume and Surface Area.
Accountant Syllabus
1. Economic Concepts
2. National Income
3. Determination of price level – Inflation
4. Public Finance
5. International Economics
6. Indian Economics
7. Foreign Trade
8. Economic Planning in India
9. Financial Accounting
10. Basics of Computers
11. Memory of a Computer
12. Algorithms and Flowcharts
13. Introduction to Statistics
14. Diagrammatic and graphic presentation of data
15. Measures of Central Tendency
16. Types of Averages: Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode
17. Measures of Dispersion and Skewness
18. Dispersion
19. Measure of Relation
20. Analysis of time series and Index Numbers
21. Time Series Analysis
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