Course Catalog and Schedule



Human and Machine Intelligence (KACI-950-5)
0.50 Credit
TCE BidStats

Description:
An executive's most prized network contact for crafting new strategies and making evidence-based judgments may no longer be a person, but a machine. Machines help solve complex problems, lessen decision bias, scale human effort, and spot hidden patterns in big data. However, they lack the creativity and insight that top executives possess. Together, executives and machines have the potential to make powerful “thought partnerships.” Using hands-on cases and applications --- including IBM’s Deep Blue and Google’s AlphaGo that beat Chess and Go Grand Masters --- this course shows how to use a critical set of machine learning decision tools, such as natural language processing, sentiment analysis, and pattern recognition to discover new competitive strategies, turn raw numbers into convincing stories, and make less biased judgments. The overarching goal is to enable you to confidently lead data science and design teams, know the expansiveness and limits of machine-learning complex decision support tools, and be capable of applying human+machine thought partnerships to grow businesses or disrupt Grand Masters in any field.

Prerequisites:
None

Download Schedule Information
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Academic Year Term   Session Course ID Title Sec ID   Credits Syl Instructor Times Campus Location Mand 1st Exam
2017-2018 Spring 2018 1st Five Weeks KACI-950-5 Human and Machine Intelligence 61 0.50 Pah, Adam Robert Mon/Thu 8:30 AM - 10:00 AM Evanston Global Hub (1430) N Confirm final deliverables with professor and syllabus.
2017-2018 Spring 2018 2nd Five Weeks KACI-950-5 Human and Machine Intelligence 62 0.50 Pah, Adam Robert Mon/Thu 8:30 AM - 10:00 AM Evanston Global Hub (1430) N Confirm final deliverables with professor and syllabus.
2017-2018 Spring 2018 2nd Five Weeks KACI-950-5 Human and Machine Intelligence 70 0.50 Pah, Adam Robert Wed 6:00 PM - 9:00 PM Chicago Wieboldt (203) N