Course Schedules

Course Description:

Throughout the course, there will be hands-on exercises with computing resources. The course will include introductions to several packages in R, particularly Tidyverse, libraries in Python such as Pandas/NumPy/Statsmodels, SQL clauses and summary statistics, and Spark framework for distributed computing.

Course Description:

Organizations can generate copious amounts of data. Extracting useful knowledge from data Warehouses to utilize in decision-making can provide a competitive advantage for an organization by identifying strengths and weaknesses. In this course, you will learn data warehouse organization, how to analyze data through analytical queries, and apply machine learning algorithms to build predictive models.

Course Description:

This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.

Course Description:

Gain hands-on knowledge of tools for data science using R, Python, SQL, and Spark. The course provides introductions to several packages in R, particularly Tidyverse, libraries in Python such as NumPy and Pandas, SQL clauses and summary statistics, and Spark framework for distributed computing. You will also learn about RStudio, GitHub, and RMarkdown. To end this course, you will conduct a final project to work on real-world problems.

Course Description:

Organizations can generate copious amounts of data. Extracting useful knowledge from data Warehouses to utilize in decision-making can provide a competitive advantage for an organization by identifying strengths and weaknesses. In this course, you will learn data warehouse organization, how to analyze data through analytical queries, and apply machine learning algorithms to build predictive models.

Course Description:

This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.

Course Description:

This course reviews fundamental principles of modern computer architectures, operating systems and computer networks and relates them to computer programming. The course covers topics such as the design of various components of operating systems and services they provide to users and application developers, network structures & devices, network protocol stacks, network performance metrics, network routing algorithms, and network traffic analysis. The role of security in systems and networks will also be covered. This course may require completion of graduate foundations courses in computer programming or the equivalent undergraduate coursework if a student has insufficient academic or professional experience in the discipline.

Course Description:

A course in the Accelerated Software Engineering Foundations Series in which students will gain a comprehensive understanding of principles/concepts of Java programming and how to apply those principles/concepts in conjunction with principles of software engineering to design and develop object- oriented software systems. Students taking this course should have an understanding of programming language fundamentals including variables, constants, selection, iteration, arrays, and functions or methods.

Course Description:

This course introduces students to topics in cybersecurity. It provides information related to threat models, vulnerability analysis, and security-policy formation and enforcement. In addition, the course covers information assurance controlling laws and guidelines as well as introduces students to broad topics in network and system security, Internet services, and digital forensics.

Course Description: 

This course covers the basic strategies and tools that prepare students to engage in proactive and aggressive cybersecurity activities, with an increased focus on computer, network and system security. Students will learn about protection strategies which are most effective when dealing with cyber attacks, especially in an age of increased reliance on distributed devices. This course may require completion of graduate foundational courses in computer science or undergraduate coursework in computer networks and operating systems if a student has insufficient academic or professional experience in the field.

Course Description:

Examines the importance of building security into the design, implementation and testing phases of software development. Covers coding techniques that avoid known vulnerabilities and test strategies that can uncover previously unknown weaknesses. Includes discussion of security policies and design principles. Prior to taking this course students should have knowledge and skill in software development.

Course Description:

Course Description: