Tulane AI teaching with Knud Berthelsen, mosaic of him discussing data, AI and society with students and a robot assistant, watched over by a goddess of intelligence

Professor Berthelsen teaches Tulane courses on Applied AI, the Impact of AI, and Data Analysis.

Current Courses

SLAM 3111 (previously offered as SLAM 3911/3912)

AI and Society

This course examines the impact of widely available artificial intelligence on society and its strategic implications. Students explore AI's influence across various sectors including education, work, business, and entertainment industries. Through a blend of lectures, student-led research, debates, and simulations, the course helps students develop strategies to navigate and create value in an AI-influenced world.

SLAM 3111 is included in Tulane’s AI Literacy Minor.

AI and Society at Tulane, ancient mosaic of a goddess and robot overlooking a modern city with homes, workplaces and a civic plaza

Fall 2026: TR 11:00 and 12:30

Spring 2027: TR 12:30 and 2:00

Overall student course evaluations of 4.6 out of 5 and instructor evaluations of 4.8.

DATA 2150

Artificial Intelligence Tools

This course gives students hands-on experience with the latest in artificial intelligence technologies, including ChatGPT, Claude, and Gemini. It covers the practical applications of AI in collecting, generating, transforming, analyzing, and communicating information for personal and professional tasks.

DATA 2150 is included in Tulane’s AI Literacy Minor.

Artificial Intelligence Tools at Tulane, ancient mosaic of a goddess and robot using a microchip console to produce a document

Fall 2026: TR 9:30

Spring 2027: TR 9:30

Summer 2027: online, asynchronous in June

Overall student course evaluations of 4.7 out of 5 and instructor evaluations of 4.8.

SLAM 2031

Applied Data Analysis

This course provides a hands-on, project-based approach to data analysis, emphasizing evidence-based decision-making for real-world problems. Students work through the full analytical pipeline: from formulating research questions and collecting data to cleaning, analyzing, and interpreting diverse datasets using current tools, including AI. The course builds critical thinking skills for spotting data misuse and statistical fallacies, and teaches students to translate analytical findings into compelling narratives and strategic recommendations.

Applied Data Analysis at Tulane, ancient mosaic of a goddess questioning an outlying data point while a robot organizes data tiles

Maymester 2027: online, asynchronous (the first time the course is offered)

Past Courses

Introduction to Data Analytics - SLAM 2030

This course introduces students to the fundamentals of data analytics in today's business world. Students learn about data collection, analysis, and decision-making through hands-on experience with tools like Google Sheets and AI assistants. The course combines experiential learning with real-world applications, helping students understand how companies use data analytics to make strategic decisions and create value through problem-solving.

Overall student course evaluations of 4.8 out of 5 and instructor evaluations of 4.9.

Management of New Ventures - MGMT 4610

In Management of New Ventures, students worked in teams to evaluate, develop, and communicate business ideas, utilizing data analysis and leveraging connections in the local startup ecosystem. The course aimed to provide a theoretical and practical framework for understanding and managing new ventures, incorporating personal entrepreneurial experiences to instill an entrepreneurial mindset among students.

Global Business Projects - MGMT 6150

Global Business Projects was a graduate-level course where student teams developed international expansion strategies for clients using data analysis and data-driven decision-making. The course included guest speakers from local industries and visits to significant business locations in New Orleans, aiming to give students practical insights into global business operations. It was mainly offered to Professional MBA (PMBA) students.

Global Leadership I (MGMT 6510) & Global Leadership IV (MGMT 6540)

These courses were part of the Master of Management and MBA programs, respectively, focusing on global leadership challenges and strategies. In addition to class meetings they included travel to either India or China, offering students immersive learning experiences that combined academic study with real-world international exposure.