LTA 2006: Art in Latin America

4 intermediate liberal arts credits


This course presents a panorama of art and culture in Latin America from ancient times to the present. Topics include Pre-Columbian Empires; Spanish Colonial Cities; Revolution, Reform and Modernism; Indigeneity, African diasporas, and Nationalism. Looking through the lens of art and architecture, the course pays special consideration to Latin America's enduring legacies and dynamic processes of change. This is an introductory survey intended for students of all academic and professional interests: no previous art history courses or experience with Latin America necessary.

Prerequisites: (AHS 1000 or FCI 1000) and (RHT1000 or WRT1001)

  • Program: Undergraduate
  • Division: Arts and Humanities
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: LTA2006
  • Number of Credits: 4

ART 4605: Art in the Age of Enlightenment

4 advanced liberal arts credits

This class examines the history of art during the Age of Enlightenment (1600-1800), a time marked by revolutions in science, industry, philosophy, and the declaration of human rights. Students will learn about artists who grappled with the image of a changing world, picturing what was before inconceivable: a surgeon publicly dissecting a human body, a former slave turned politician, etcetera. Throughout the semester, students will critically assess how art shaped the founding ideologies of our modern world.

Prerequisites: Any combinations of 2 intermediate liberal arts (HSS, LTA, CSP)

  • Program: Undergraduate
  • Division: Arts and Humanities
  • Level: Advanced Liberal Arts 4600 Requirement (UGrad),Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: ART4605
  • Number of Credits: 4

OIM 6112: Artificial Intelligence Experimentation

MSEL Course

1.5 credits

Description:

Artificial Intelligence Experimentation is an experiential course where student teams leverage AI to design digital business concepts and apply Agile Product Management. Students will learn key skills, including how to:

1. Develop AI value propositions and business concepts

2. Practice agile product management

3. Prototype AI-related digital interfaces and solutions

4. Conduct experiments and iterate on solutions

The course does not require previous AI, programming, Agile, or software/hardware prototyping experience.

Prerequisites: None

  • Program: Graduate
  • Division: Operations and Information Management
  • Course Number: OIM6112
  • Number of Credits: 1.5

OIM7545 Artificial Intelligence for Business
3 Blended Credits

F2F Meeting Dates TBD

This course introduces students to cognitive technologies (another phrase for "artificial intelligence") and addresses their value and implementation in business. A variety of cognitive tools will be covered, from machine learning to natural language processing to "deep learning." Both the functions performed by these technologies and the business issues they generate-including the roles to be performed by humans in knowledge work processes of the future-will be addressed in the course.

Some instruction is provided by online videos on cognitive technologies. There will be several guest lectures from external experts on various cognitive technologies and management issues. No programming background is required, although students will need to study materials about how cognitive technologies work.

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: MSBA Elective (Grad),Graduate Elective (Grad)
  • Course Number: OIM7545
  • Number of Credits: 3

OIM3580 Artificial Intelligence in Business
4 Advanced Management Credits

This elective is intended to introduce you to a variety of different types of artificial intelligence and to many of the issues involved in their business application. We will cover a variety of AI tools, from machine learning to natural language processing to "deep learning." We will learn about both the functions performed by these technologies and the business issues they generate - including the roles to be performed by humans in organizations of the future.


Some introductory material is provided by online videos on AI in general. We will have several external experts as guest speakers during sessions. No programming or detailed technology background is required, although you should be interested in new technology and will need to study materials about how AI works.


The objective is to equip you to be a manager or professional who makes use of this technology, not a developer of it-or a translator of business requirements to professional data scientists. The course is also intended to encourage some students to go on for more technical training in AI. Specific learning objectives are listed for each session.

Prerequisites: SME2012

  • Program: Undergraduate
  • Division: Operations and Information Management
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: OIM3580
  • Number of Credits: 4

NST1011: Astrobiology

4 foundation liberal arts credits


Introduction to the new science of astrobiology, study of the origin and evolution of life on Earth, and the search for microbial and intelligent life elsewhere in the Universe. Study of the information necessary to make estimates of the probability of extraterrestrial life, what characteristics it might have and how we might expect to communicate with it if it exists.

Prerequisites: None

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: NST1011
  • Number of Credits: 4

NST2070 Astrobiology and the Emergence of Complex Systems
4 Intermediate Liberal Arts Credits
The prospects for simple and intelligent life beyond earth are discussed in terms of planetary science, molecular biology, complexity theory, evolution and thermodynamics. Discussions will focus on the processes leading to the emergence of complex systems as well as the biological and physical interdependencies of life and the environment.

Prerequisites: NST10XX

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2070
  • Number of Credits: 4

NST1010 Astronomy
4 Credits
The evolution and structure of the universe are explained using underlying basic physical principles along with the historical development of our present understanding. We will explore the instruments and data collection techniques used by astronomers and learn how they can be applied to solve problems in other disciplines.

Prerequisites: None

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: NST1010
  • Number of Credits: 4

ACC4520 Auditing
4 General Credits
This course examines the interrelation of audit standards, procedures, and internal control techniques with the final auditor's certificate; auditing techniques, statistical sampling methods, and the impact of electronic data processing (EDP) procedures on the auditor.


Prerequisites: ACC3500

  • Program: Undergraduate
  • Division: Accounting and Law
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: ACC4520
  • Number of Credits: 4

FIN7572 Babson College Fund

3 Elective CreditsThe Babson College Fund is a two-semester course, where selected students manage a portion of the Babson College endowment. The Babson College Fund Office selects undergraduate and graduate students to be analysts and portfolio managers.

By learning the basics of security analysis and portfolio management, it is hoped that students will be prepared to take jobs in the Investment Management and Investment Banking industries post-graduation.

The Program Director and Executives in Residence are committed to helping this pursuit as much as possible. The course also requires that students refine their networking skills and develop a proficiency in the analytical tools available through the Cutler Center to maximize their employment prospects.

Prerequisites: Program Director (Patrick Gregory) Permission

  • Program: Graduate
  • Division: Finance
  • Level: MSF Elective (Grad),Graduate Elective (Grad)
  • Course Number: FIN7572
  • Number of Credits: 3