UNIVERSITY EXAMINATIONS: 2017/2018
EXAMINATION FOR THE DEGREE OF MASTER OF SCIENCE IN
INFORMATION SYSTEMS MANAGEMENT
MISM 5204: DATA ANALYTICS AND KNOWLEDGE ENGINEERING
DATE: NOVEMBER, 2017 TIME: 2 HOURS
INSTRUCTIONS: Answer Question One & ANY OTHER TWO questions.
QUESTION ONE
(a) Briefly describe the meaning of the following concepts as used in data analytics and knowledge
engineering:
(i) Explanation facility (1 Mark)
(ii) Knowledge engineering (1 Mark)
(iii) Inference engine (1 Mark)
(iv) Big Data (1 Mark)
(b) State and explain four components of a Knowledge-based System in the context of Data
analytics and knowledge engineering. (4 Marks)
(c) State and explain two types of factor analysis. (2 Marks)
(d) Describe the difference between observable and non-observable variables as used in factor
analysis. Use an example to illustrate your answer (2 Marks)
(e) State and explain four types of data analytics (4 Marks)
(e) Determinants of matrices are used in data analytics. Describe any two of these uses
(2 Marks)
(f) Consider the following matrix
) Evaluate the determinant of the above matrix (1 Mark)
(ii) Based on the answer obtained in (i) does the matrix has an inverse? (1 Mark)
QUESTION TWO
(a) Describe the purpose of the following descriptive analytics. Give one example for each case
(6 Marks)
(i) Measures of dispersion
(ii) Measures of relationship
(iii) Measures of central tendency
(b) Describe three limitations of descriptive statistics (3 Marks)
(c) Consider the following students performance data set
Use the above data set to compute measures for both age and Marks. Interpret results for each case
(i) Standard deviation (2 Marks)
(ii) Covariance (2 Marks)
(iii) Correlation (2 Marks)
QUESTION THREE
(a) State and explain three main goals of data analytics. Use one example to illustrate each case
(3 Marks)
(b) Describe the importance of predictive analytics in data analytics (2 Marks)
(c) Describe Predictive Analytics Process Cycle. (5 Marks)
(d) Describe the importance of eigen values in principle component analysis (2 Marks)
(e) Use the following matrix to calculate eigen values
QUESTION FOUR
(a) Discuss four knowledge engineering activities. Give one practical example to illustrate each
activity
(4 Marks)
(b) Draw a semantic network for representing the following knowledge (2 Marks)
Peter is a student of KCA University. He lives in Nairobi and is employed by the government of
Kenya.
His area of interest is Data analytics.
(c) Consider the following knowledge base
furniture(sink, kitchen,1).
furniture(chair,lounge,4).
Furniture(bed,bedroom,1).
Furniture(cooker,kitchen,1).
Furniture(chair,kitchen,4).
furniture(sofa,lounge,1).
Use the above knowledge base to answer the following questions
i. What query would we use to find all rooms with chairs? (1 Mark)
iii.What query would we use to get a list of items in the kitchen? . (1 Mark)
iv. List all the rooms without stating items or the numbers (1 Mark)
(d) You are given an expert system with several rules pertaining to the interpersonal skills of a job
applicant
R1: if the applicant answers questions in straight forward manner then she is easy to converse
with.
R2: If the applicant seems honest then she answers in straight forward manner.
R3: If the applicant has item on her resume that are found to be untrue then she is not honest.
R4: If the applicant is able to arrange an appointment with the executive assistant then she is
able to strike up a conversation with the executive assistant.
R5: IF the applicant strikes up a conversation with the executive assistant and the applicant is
easy to converse with then she is amiable.
R6: If the applicant has adequate interpersonal skills. Then we will offer her the job.
Use the above rules to solve the following problems:
i) Assume that the applicant does not have any items on her resume that are found to be untrue and
that she is able to arrange an appointment with the executive assistant. (2 Marks)
ii) Run a forward chain analysis to find out whether we will offer her a job. (2 Marks)
iii) It is known that the applicant answers questions in straight forward manner. Run backward
chain analysis to find out whether we will offer a job to the applicant
(2 Marks)
