Edx

ColumbiaX: Digital Case Method

About this course Skip About this course This class is designed for teaching and learning professionals, media professors, and university and college leaders interested in learning, creating, and using Digital Case Studies. Digital Case Studies can be created by students using inexpensive equipment, such as smartphones and laptops, and can profile issues that range from …

ColumbiaX: Digital Case Method Read More »

Unlocking the Power of Generative AI with ChatGPT for Higher Education

Overview In an increasingly digitized and technologically evolving world, it is crucial to stay informed about the tools and resources that are reshaping education. Undoubtedly, ChatGPT is one of these tools, revolutionizing how students access and process information, and how educators design and deliver personalized educational content. ChatGPT is a conversational language model developed by …

Unlocking the Power of Generative AI with ChatGPT for Higher Education Read More »

ColumbiaX: Digital Case Method

About this course Skip About this course This class is designed for teaching and learning professionals, media professors, and university and college leaders interested in learning, creating, and using Digital Case Studies. Digital Case Studies can be created by students using inexpensive equipment, such as smartphones and laptops, and can profile issues that range from …

ColumbiaX: Digital Case Method Read More »

Machine Learning

Overview Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies. Major perspectives covered include: Topics include: classification …

Machine Learning Read More »

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps

Overview This Data Structures & Algorithms course extends beyond linear data structures in CS1332xI to the nonlinear and hierarchical data structures here in CS1332xII. A short Java review is presented on topics relevant to new data structures covered in this course. The course does require prior knowledge of Java, object-oriented programming and linear data structures. …

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps Read More »

Computational Thinking for Modeling and Simulation

Overview Computational thinking is becoming widely recognized as a skill necessary for every educated person in a technologically advanced society.  We will focus on just a subset of computational thinking which concerns creating models of the physical world – something that engineers frequently need to do.  Because of that choice, this course covers many topics …

Computational Thinking for Modeling and Simulation Read More »

Artificial Intelligence (AI)

Overview What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI). This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI …

Artificial Intelligence (AI) Read More »

Human-Computer Interaction I: Fundamentals & Design Principles

Overview This course takes you through the first eight lessons of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer Science program. In this course, you’ll take the first steps toward being a solid HCI practitioner and researcher. You’ll learn the fundamentals of how HCI relates to fields like …

Human-Computer Interaction I: Fundamentals & Design Principles Read More »

Learning From Data (Introductory Machine Learning)

Overview This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine …

Learning From Data (Introductory Machine Learning) Read More »

Shopping Cart
  • Your cart is empty.