Structure

The study of computer science centers on two complementary aspects of the discipline. First, computer science is fundamentally concerned with the problem-solving methodologies it derives from its foundational fields: the design principles of engineering, mathematical theory, and scientific empirical study. Second, these methodologies are applied in the complex context of a modern-day computing system. In this course we will address both of these important aspects. As a means for developing your design skills, we will discuss the fundamental features of a high-level, general-purpose programming language – namely C++ – and learn how to use it as a tool for problem solving. We will also consider the performance of solutions, and how to apply both analytical and empirical assessment techniques. Finally, we will explore the Unix operating system as a context for problem solving. (Additional 2 hour weekly lab time scheduled at first class meeting.)

Recommendations: High school algebra. No prior programming experience is necessary.

A second course in computer science. Data structures and algorithms are studied through major programming projects in the C++ programming language. Topics include linked lists, trees, graphs, dynamic storage allocation, and recursion.

Prerequisite: COMP 11 or consent. This course and COMP 50-01 (COMP 50-PSS) may not both be taken for credit.

An introduction to foundational mathematical concepts and techniques: Sets, relations and functions, logic and methods of proof, combinatorics, graphs and digraphs.

Recommendations: MATH 32 or COMP 11 or permission of instructor.

Hosted by the Center for STEM Diversity staff and held on a weekly basis. These lessons will cover topics that are often unspoken, cultural expectations in navigating college and professional spaces, and are important “life lessons” to learn. From the basics of how best to communicate with your faculty, to developing your networking skills and understanding team dynamics, we look to give students an overview of tools, strategies and support structures that will help them become successful beyond their time at Tufts. 

Exact topics may change year-to-year. 

Hosted by the ACE++ Graduate Mentor and held on a weekly basis. CS Enrichment is designed to introduce students to topics and skills within CS that are often not included in undergraduate CS curricula, despite their importance in CS-related jobs. This includes networking, version control, basic web development, etc. To connect to what students are learning in Life Lessons, they will work on creating and continuously adding to their own portfolio websites throughout the summer. 

Exact topics may change year-to-year. 

Homework Launch
Designed to help students with accountability and time management, students will work with the ACE++ Graduate Mentor on reviewing the homework from their courses and getting started on it.

Side Quest Time
This weekly program provides students with dedicated time to explore and develop their own passion projects, supported by the ACE++ Graduate Mentor and ACE++ peer mentors. These projects offer a chance to build skills aligned with personal interests and can be included in students’ portfolios later on.

Bi-weekly Staff Check-Ins
To make sure students are supported throughout the program, students are assigned to a staff member to meet every other week. The purpose is to discuss how classes are going, what they hope might get out of this program, identify any possible challenges, and begin looking ahead on career and professional goals.