COGJET-2018 is a joint entrance test for admission to post-graduate programs in Cognitive Science at IIT Kanpur and Centre of Behavioural and Cognitive Sciences (CBCS), University of Allahabad.
It is expected that this test will be held every year and there is a possibility that other cognitive science programs in the country may participate in the joint entrance test in future.
The post-graduate programs which will use COGJET-2018 scores for admission in 2018 are:
- IIT Kanpur: MS (2 years and 3 years) and Ph.D.
- CBCS, Allahabad: M.Sc.
Note that COGJET-2018 is an enabling test and institutions may have extra requirements for admission.
Test date: Sat. 17th Feburary 2018, 10.00-12.00 and 14.00-16.00.
Test fee: Rs.500/- for SC/ST, OBC (Non-creamy layer), female, PwD; Rs.750/- for all others. The test fee is non-refundable.
Test venues (tentative): New Delhi, Mumbai, Kolkata, Chennai, Hyderabad, Bengaluru, Guwahati, Gandhinagar, Jaipur, Kanpur, Allahabad.
Eligibility: To write the test the minimum qualification is: you must have graduated or be in the final year (and should graduate by July 2018) of a 3-year or 4 or more years Bachelor's degree program of a recognized academic institution. For more details regarding eligibility constraints for admission see the institutional websites.
Test structure: The test is divided into two parts. Part I is a multiple choice aptitude test. Part II has two sections: i) elementary maths and basics of computation, ii) elementary psychology and basics of hypothesis testing. All candidates must answer both parts.
For each candidate separate percentile scores will be reported for Part I and each section in Part II. The policies used by each institute for shortlisting or admitting candidates will be announced on the websites of each institution participating in COGJET-2018.
Syllabus and Reading List
Part I questions will be approximately at the same level as the CAT (Common Admission Test) for admission to management programs.
The syllabus and reading list for each section in Part II is given below. The resources in the suggested reading lists contain much more material than required by the syllabus. Study only the relevant parts. Also, note that other equally good resources are available in print and digital form and you can use those as well.
Elementary mathematics and basics of computation:
- Basics of sets, relations, recurrences, simple combinatorial problems.
- Matrices and basic matrix algebra.
- Calculus: limits, extrema, simple differentiation and integration, integration as area under the curve.
- Elementary probability theory, conditional probability, Bayes theorem, random variables, simple discrete and continuous distributions, expectation, mean, variance, median, percentiles.
- Elementary Boolean algebra, number representation and conversion.
- Programming: variables, types, declarations, assignment, conditionals, iteration, recursion, functions. (Familiarity with programming and pseudo code is needed but specific programming language questions will not be asked.)
- Elementary data structures (arrays).
- Basic algorithms like searching, sorting, HCF, LCM, prime finding, similar number based algorithms.
- TH Cormen, CE Leiserson, RL Rivest, C Stein, Introduction to Algorithms, 3rd Ed., MIT Press, 2009. (Indian edition is available).
- C Hamacher, S Vrosenic, S Zaky, Computer Organization, 5th Ed. McGraw Hill 2011. (Indian edition is available).
Elementary psychology and basics of hypothesis testing:
- Basic neuroanatomy. Physical layout of the brain, names of important components and their functions, e.g. cortex, cerebellum, brainstem etc.
- What is a neuron? Structure, components, action potentials, synapses etc.
- What is the nervous system? Nerves, receptors, connectivity, speed, structure etc.
- Psychophysics: absolute and difference thresholds, Weber's law, Fechner's Law.
- Learning: Associative and non-associative learning, Pavlovian conditioning, Hebbian learning.
- Memory: modal model of memory, working memory, phonological loop, visuo-spatial sketchpad, central executive), types of memory (explicit, implicit), memory inhibition effects, e.g. blocking, interference etc. Long-term memory: encoding, retrieval, forgetting.
- Visual perception: basics of colour, depth and motion perception, perceptual constancy, and principles of perceptual organization.
- Basics of hypothesis testing (e.g. t-test, chi-square, ANOVA), significance, p-value, error types, power and size effects.
- Clifford Morgan, Richard King (2017) Introduction to Psychology. 7th Edition. McGraw Hill.
- Stangor (2010). MIT – Introduction to Psychology (Open Source – free to download on the internet)
- David G. Myers. 2017. Psychology. Macmillan Indian Edition.
- Cohen, B.H. (2014) Explaining Psychological Statistics. 4th Ed. John Wiley and Sons.
- Mangal, S.K. (2004) Statistics in Psychology and Education. 2nd Ed. Prentice Hall India.
Websites of participating institutions in COGJET-2018:
- IIT Kanpur: http://www.iitk.ac.in/cogsci/index.html
- CBCS, Allahabad: http://www.cbcs.ac.in/