Int. to Data Analytics and Cyber Security Syllabus

Introduction to Data Analytics & Cyber Security CS/IT323 Lectures Final Exam

4 Periods/Week, Tutorial: Continuous 1 Assessment 3 hours Final Exam Marks UNIT – I

40 60 (15

Periods) Introduction to Analytics & R Programming: Knowing Language R, Using R as a calculator, Understanding components of R, reading database using R, Importing & Exporting CSV, working on variables, outliers and missing data treatment, combining datasets using R, Discuss functions and loops, Summarizing the Data & Revisiting Probability: summery statisticssummarizing data with Probability, expected values, Random and bivariate random variables, probability distribution, normal distribution, central limit theorem, random walk UNIT – II (15 Periods) Correlation Regression Analysis: Basic Regression Analysis, OLS regression, Regression Modeling, Regression Residuals, Correlation, Heteroscedasticity, autocorrelation & multi collinearity, Introduction to multiple regressions, dummy variables. Understanding verticals-Engineering, financial and others, Requirement gathering. SQL using R UNIT – III (15 Periods) Information security management: Information Security Overview, Information Security Threats and Attack Vectors, Types of Attacks, Common Vulnerabilities and Exposures (CVE), Security Attacks, Computer Security Concerns, Information Security Measures. Fundamentals of Information security: Key Elements of Network, Logical Elements of Network, Critical Information Characteristics, Information States, (15 UNIT – IV Periods) Information security policies, procedures and audits: Information Security Policies, Security Policy Implementation, Security Policy Configuration, Security Standards, Guidelines & Frameworks, Domains of ISO 17799, Security Standards Organizations, Information Security Laws, Regulations & Guidelines. Information security Management-Roles & Responsibilities: Security

Roles & Responsibilities, Accountability – Information Security Roles and Responsibilities, REFERENCE BOOKS: 1. Security Analysis web resource: url: https://jumpshare.com/v/CUOssnNkE6cW9YGcGz2p 2. Data Analysis web resource: url: https://www.dropbox.com/sh/6vlvfyx0xjdavjm/AABCvl1uwsceC9dnY0g-VbRda? dl=0