Carnegie Mellon University ———

Student Academic Success Center

Office of the Vice Provost for Education

Student Academic Success Center  ›  Our Programs  ›  Peer Tutoring

Peer Tutoring

Our tutoring services are offered in two formats:

Our program has level II certification by the College Reading and Learning Association's International Tutor Training Program.

Drop-in Tutoring

Drop-In tutoring targets our highest demand courses through regularly scheduled open tutoring sessions during the fall and spring semesters. You are not required to commit to regular attendance and you can come as needed throughout the semester. You can utilize Drop-In Tutoring to discuss course related content, clarify and ask questions, work through practice problems, and stay and do work.

Please note: There is no Drop-in Tutoring during Finals Week

Tutoring Appointments

Tutoring consists of ongoing individualized and small group sessions for students seeking support related to their coursework. You can utilize tutoring to discuss course related content, clarify and ask questions, work through practice problems, etc.

  • Once your request is received, you and your tutor work directly together to schedule your sessions.
  • Our goal is to support all students, however, please note that not every request can be accommodated as we only make matches when a qualified tutor can be identified.
  • If tutoring is not available for your requested course, we will work in partnership with other learning support programs to best support you.
  • Our services are not a replacement for attending class, recitations and/or office hours. Our role is to support your efforts alongside your class. As resources are limited, we strongly encourage you to attend office hours for your professor or TA where applicable.
  • Request a tutoring appointment
  • See the list of courses we are currently able to support with tutoring appointments.

Learning Support Options

Courses

Following is a list of courses we are currently able to support with tutoring appointments.  Our goal is to provide you with the support and resources you need to be a successful independent learner in your course. As such, you may still submit a request for tutoring in a course that is not on this list and we will do our best to connect you with other sources of course support including Study Partners, Academic Coaching, and department resources. We are available to meet with you to answer any questions you have and invite you to speak with a Student Academic Success Team member via Zoom during our business hours or you can schedule a 30-minute individual consultation.

Each column in the table shows the type of support available for the listed courses.

Please note: Drop-In Tutoring is only available during the Fall and Spring semesters.

Current list of available courses
1-on-1 or
small group		 SI DROP-IN COURSE # COURSE TITLE
Y Y 03121 Modern Biology
Y 03140 Ecology and Environmental Science
Y 03151 Honors Modern Biology
Y 03220 Genetics
Y Y 03231 Honors Biochemistry
Y 03232 Biochemistry I
Y 03320 Cell Biology
Y 03363 Systems Neuroscience
Y 05430 Programming Usable Interfaces
Y 05630 Programming Usable Interfaces
Y 06100 Introduction to Chemical Engineering
Y 06221 Thermodynamics
Y Y 06261 Fluid Mechanics
Y Y 06262 Mathematical Methods of Chemical Engineering
Y Y Y 09105 Modern Chemistry I
Y Y 09106 Modern Chemistry II
Y 09217 Organic Chemistry I
Y Y Y 09218 Organic Chemistry II
Y 09219 Modern Organic Chemistry
Y 09220 Modern Organic Chemistry II
Y 09331 Modern Analytical Instrumentation
Y 09348 Inorganic Chemistry
Y 09710 Chemistry and Sustainability
Y 10315 Introduction to Machine Learning (SCS Majors)
Y 12100 Exploring CEE: Infrastructure and Environment in a Changing World
Y 12200 CEE Challenges: Design in a Changing World
Y 12212 Statics
Y 12232 Solid Mechanics Lab
Y 12355 Fluid Mechanics
Y Y 15110 Principles of Computing
Y Y 15112 Fundamentals of Programming and Computer Science
Y Y Y 15122 Principles of Imperative Computation
Y Y 15150 Principles of Functional Programming
Y 15151 Mathematical Foundations for Computer Science
Y 15210 Parallel and Sequential Data Structures and Algorithms
Y 15213 Introduction to Computer Systems
Y 15251 Great Ideas in Theoretical Computer Science
Y 15351 Algorithms and Advanced Data Structures
Y Y 18100 Introduction to Electrical and Computer Engineering
Y 18213 Introduction to Computer Systems
Y 18220 Electronic Devices and Analog Circuits
Y 18240 Structure and Design of Digital Systems
Y 18290 Signals and Systems
Y 21111 Calculus I
Y 21112 Integral Calculus
Y Y 21120 Calculus
Y Y 21122 Integration and Approximation
Y Y Y 21127 Concepts of Mathematics
Y 21128 Mathematical Concepts and Proofs
Y 21228 Discrete Mathematics
Y 21240 Matrix Algebra with Applications
Y Y Y 21241 Matrices and Linear Transformations
Y Y 21256 Multivariate Analysis
Y Y Y 21259 Calculus in Three Dimensions
Y Y 21260 Differential Equations
Y 21270 Introduction to Mathematical Finance
Y 21341 Linear Algebra
Y 21355 Principles of Real Analysis I
Y 24101 Fundamentals of Mechanical Engineering
Y 24261 Statics
Y 24262 Stress Analysis
Y Y 27100 Engineering the Materials of the Future
Y 27201 Structure of Materials
Y Y 27202 Defects in Materials
Y 27211 Structure of Materials
Y 27212 Defects in Materials
Y 27215 Thermodynamics of Materials
Y Y 27216 Transport in Materials
Y Y 27217 Phase Relations and Diagrams
Y Y Y 33121 Physics I for Science Students
Y Y 33122 Physics II for Biological Sciences & Chemistry Students
Y Y Y 33141 Physics I for Engineering Students
Y Y 33142 Physics II for Engineering and Physics Students
Y 33225 Quantum Physics and Structure of Matter
Y 36200 Reasoning with Data
Y 36202 Methods for Statistics & Data Science
Y 36217 Prob. Theory & Random Processes
Y 36220 Engineering Statistics and Quality Control
Y 36225 Introduction to Probability Theory
Y 36226 Introduction to Statistical Inference
Y 36309 Experimental Design for Behavioral & Social Sciences
Y 36315 Statistical Graphics and Visualization
Y 36350 Statistical Computing
Y 42101 Introduction to Biomedical Engineering
Y Y 42202 Physiology
Y 48100 Architecture Design Studio: Foundation I
Y 48200 Architecture Design Studio: Elaboration I
Y 48300 Architecture Design Studio: Integration I
Y 57151 Counterpoint in Theory and Application
Y 57152 Harmony I
Y 57153 Harmony II
Y 57161 Eurhythmics I
Y 57162 Eurhythmics II
Y 57163 Eurhythmics III
Y 57181 Solfege I
Y 57182 Solfege II
Y 57183 Solfege III
Y 57185 Advanced Solfege I
Y 57186 Advanced Solfege I
Y 57282 Solfege II
Y 62123 Digital Media II
Y 70106 Business Science
Y 70122 Introduction to Accounting
Y Y Y 73102 Principles of Microeconomics
Y Y 73103 Principles of Macroeconomics
Y Y 73230 Intermediate Microeconomics
Y 73240 Intermediate Macroeconomics
Y 76100 Reading and Writing in an Academic Context
Y 76101 Interpretation and Argument
Y 76106 Writing about Literature, Art and Culture
Y 76107 Writing about Data
Y 79104 Global Histories
Y 80180 Nature of Language
Y 84104 Decision Processes in American Political Institutions
Y 84250 Writing for Political Science and Policy
Y 84275 Comparative Politics
Y 85102 Introduction to Psychology
Y 85211 Cognitive Psychology
Y 85219 Biological Foundations of Behavior
Y 85241 Social Psychology
Y 88120 Reason, Passion and Cognition
Y 88251 Empirical Research Methods
Y 88252 Causal Inference in the Field
Y 88360 Behavioral Economics
Y 90723 Financial Statements and Analysis of Companies
Y 90728 Introduction to Database Management
Y 90812 Introduction to Programming with Python
Y 95712 Object Oriented Programming in Java

Other Subjects
1-on-1 or
small group		 Subject Type Subject
Y Programming C
Y Programming Java
Y Programming MATLAB
Y Programming Python
Y Programming R Studio
Y Languages Chinese
Y Languages Spanish
Y Languages Japanese
Y Languages Russian
Y Languages Polish
Y Languages Hindi
Y Languages Tamil