Learning Outcomes

Learning Outcomes and Goals

Upon graduating from Muhlenberg College, students majoring in departmental programs will be able to:

• Demonstrate a broad-based knowledge of both the theoretical development and the practical applications of the subject matter, as well as an understanding of how the discipline changes and evolves over time.
• Appropriately apply technology to visualize and analyze both data and theoretical concepts.
• Use quantitative tools, analytical methods, and algorithms to solve problems.
• Read and master technical material, write precise, appropriately detailed arguments, and articulate orally in formal and informal contexts to experts and more general audiences.
• Collaborate effectively in diverse and inclusive teams to complete projects.
• Use and apply tools in unfamiliar situations to contend effectively and confidently with ambiguity and uncertainty.
• Critically examine and evaluate the ethical usages of data and technologies.
• Apply an intellectual agility that allows them to transfer existing knowledge to other disciplines.

Mathematics majors will also be able to:

• Write and argue effectively using the language of mathematics, including the writing of proofs. 

Computer Science majors will also be able to:

• Explain and apply advanced concepts in multiple programming languages from diverse paradigms.
• Read, write, test, and modify software so that others can read and modify such material.
• Explain, analyze, design, and apply advanced data structures and algorithms.
• Develop solutions to novel problems by self-learning concepts and technologies beyond those specifically covered in class.

 Statistics majors will also be able to:

• Clean and organize data using appropriate statistical techniques.
• Build, assess, refine, and interpret appropriate statistical models using statistical software.
• Communicate statistical results clearly and concisely to both technical and non-technical audiences.

Analytics minors will be able to:

• Demonstrate a broad-based knowledge of both the theoretical development and the practical applications of the subject matter, as well as an understanding of how the discipline changes and evolves over time.
• Appropriately apply technology to visualize and analyze both data and theoretical concepts.
• Use quantitative tools, analytical methods, and algorithms to solve problems.
• Read and master technical material, write precise, appropriately detailed arguments, and articulate orally in formal and informal contexts to experts and more general audiences.
• Collaborate effectively in diverse and inclusive teams to complete projects.
• Use and apply tools in unfamiliar situations to contend effectively and confidently with ambiguity and uncertainty.
• Apply an intellectual agility that allows them to transfer existing knowledge to other disciplines.
• Read, write, test, and modify software so that others can read and modify such material.
• Develop solutions to novel problems by self-learning concepts and technologies beyond those specifically covered in class.