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MIS5208 - Spring 2020 - Data Analytics for IT Auditors

DATA ANALYTICS FOR IT AUDITORS AND CYBERSECURITY

Data Analytics for IT Auditors

MIS 5208.001 ■ Spring 2020 ■ Caswell Anderson
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  • Schedule 2020
    • ACL
      • Part 01 – Introduction to the Course and to Fraud
      • Part 02 – Fighting and Preventing Fraud
      • Part 04 – Data Driven Fraud Detection – Investigating Concealment and Money Laundering
    • ACL Labs
      • Lab 01 – Install ACL / Review and Work with On-Line Documentation
      • Lab 02 – ACL Analytics Basics | CPE (1.5)
      • Lab 03 – Fraud Scandals of Note
      • Lab 04 – ACL Analytics Foundations (CPE) (ACL 101 V4 CPE)
      • Lab 05 – Remediating Issues & Reporting Results (CPE) (ACL 105 V1 CPE)
      • Lab 06 – ACL Analytics Introduction to Scripting (CPE) (ACL 106 V1 CPE)
      • Lab 07 – Basics of Datetime Fields Learning Series (Basic-Intermediate) (ACL 210)
      • Lab 08 – Basics of Datetime Fields Learning Series (Basic-Intermediate) (ACL 210) (Continued…)
  • Quizzes and Tests
    • Mid-Term Exam
    • Final Exam
  • Grading and Policies
  • WEBEX
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About

Instructor

Caswell M. Anderson, CISA, CRISC (Caswell.Anderson@temple.edu)

267-970-6879 (M)

Office Hours

(By Appointment)

 

 

 

 

I am an Information Technology professional with over twenty years experience in Technology Audit, Data Analysis, Risk Management, Project Management and Process Improvement. In addition to my professional experiences, I have an undergraduate degree in Computer Science from Drexel University and an M.B.A in Business Intelligence from the Saint Joseph’s University Haub School of Business. My graduate concentration focused on Data Mining, Data Analysis Techniques and Business Processes Design and Optimization.

Certifications:
Certified in Risk and Information Systems Control (CRISC)
Certified Information Systems Auditor (CISA)

Education:

B.S. Computer Science – Drexel University

M.B.A. Business Intelligence – Saint Joseph’s University

LinkedIn: Caswell Anderson 

 

Other Courses:

Contemporary Information Technologies – A graduate course exploring key areas of Management Information Systems. Topics include systems analysis and database management, e-commerce, software development, management of information systems, self-service systems, information security, and data privacy.

Business Analytics – A graduate course in quantitative methods that integrates topics in business statistics, forecasting methods, decision-making, project management and linear programming. 

 

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