Learning Assistance

 

 

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Undergraduate Tutoring Services

Tutoring services cover course-specific material in interactive group sessions for many undergraduate core courses, with an emphasis on first-year and second-year classes in the schools of science and engineering.

Drop-in tutoring provides opportunities for undergraduates to review class material with graduate and undergraduate tutors proficient in the course topics.  The goal is to help students become independent learners by having tutors guide them through solving practice problems while demonstrating strategies for exploring a topic.  Their role is not to provide answers, but rather to help students understand questions and identify methods for solving them.

Drop-In Tutoring Schedule - 

During the fall, spring, and summer semesters Drop-in tutoring sessions are offered for selected courses in the schools of science and engineering.  During the summer semesters some courses may be scheduled on an Individual/Small Group basis. 

  • If you need assistance with an undergraduate level course that is NOT listed below, you may complete a Tutor Request form (link below) or contact our office at ALAC@rpi.edu
     
  • If you would like to become a tutor, you may complete a Tutor Application (link below) or stop by our office located in Academy Hall Suite 4226. For more details please contact our office at ALAC@rpi.edu     

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* All drop-in tutoring courses are listed by session. 

Session 1 Courses
Linear Algebra , Session I Wednesdays 7-9PM  RU 3120
Math 4090: Foundation of Analysis , Session I Wednesdays 7-9PM  RU 3120
Computer Science I , Session I Wednesdays 7-9PM  RU 3120
Introduction to Algorithms, Session I Wednesdays 7-9PM  RU 3120
Circuits, Session I Wednesdays 7-9PM  RU 3120
Engineering Probability, Session I Wednesdays 7-9PM  RU 3120
Biostats, Session I Wednesdays 7-9PM  RU 3120
MAU , Session I Wednesdays 7-9PM  RU 3120
ENGR-2600 (MAU), Session I Wednesdays 7-9PM  RU 3120
Session II Courses
Organic Chem 1, Session II Wednesdays 7-9PM  RU 3120
ENGR-1100 (IEA), Session II Wednesdays 7-9PM  RU 3120
ENGR-1200 (CAD), Session II Wednesdays 7-9PM  RU 3120
PHYS-1100 , Session II Wednesdays 7-9PM  RU 3120
Session III Courses
Organic Chem 2 ,Session III Wednesdays 7-9PM  RU 3120
PHYS-1200, Session III Wednesdays 7-9PM  RU 3120
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Teaching Assistant Office Hours

What Are TA Office Hours at RPI?

TA office hours at RPI are scheduled periods when teaching assistants are available to help students with course content. These sessions provide support to review lectures, clarify assignments, offer homework help, and prepare for exams. They are an important academic support system designed to reinforce what is taught in class.

Please note that each tutoring session is listed under the name of the course instructor. Additionally, a PDF version of all the courses mentioned below is also provided.

TA Summer 2025 Tutoring (PDF Version)

Astronomy Courses
Martin Stars, Galaxies, and Cosmos ASTR 1520 Mattaboni Timothy  mattat@rpi.edu 3-5 PM
Martin Earth and Sky  ASTR 2120 Ahmed Aqeel ahmeda7@rpi.edu 5-7 PM 
Biology Courses
Seemanti Ramanath Introduction to Biology BIOL 1010 Lahiri Amit  lahira2@rpi.edu  6-8 PM
Jonathan Stetler Biostatistics  BIOL 4200 Richards Ethan richae5@rpi.edu  3-5PM 
Keith Fraser Molecular Biochemistry I BIOL 4760 Awah Nnaemeka awahn@rpi.edu  5-7 PM 

 

 

Biomedical Engineering Courses
George Lee Programming BMED 2050 Liang Yuxuan liangy15@rpi.edu 3-5 PM
Uwe Kruger Modeling of Biomedical Systems BMED 4200 Liang  Yuxuan liangy15@rpi.edu 3-5 PM
Hisham Mohamed Biomed Transport Phenomena BMED 4250 Li Margaret liy77@rpi.edu 4-6pm
  Bioimaging BMED 2300 Kim Jesse   6- 8 PM
Chemical Engineering Courses
Baysal Intro to Computational Chem Engineering                                       CHME 2050 Rebmann Andreas W. rebmaa@rpi.edu 4-6 PM
Woodcock Transport Phenomenon II CHME  4020 Thigale Atharwa thigaa@rpi.edu 4-6 PM
Computer Science
  Computer Science I CSCI 1100     RU 3202 4-8 PM
  Intro to Algorithms  CSCI 2300 Biswas Anisha RU 3202 6-8 PM 
  Intro to Artificial Intelligence CSCI 4150     RU 3202 4-6 PM 
  Projects in AI & ML CSCI 4170     RU 3202 4-5 PM
  Principles of Software CSCI 2600     RU 3606 4-8 PM 
  Operating Systems CSCI 4210     RU 3606 4-8 PM 
  Graph Theory CSCI 4260     RU 3606 6-8 PM
  Topics in Computer Science CSCI 4960     RU 3606 6-8 PM
  Software & Design & Documentation CSCI 4440     RU 3606 6-8 PM

 

 

Enviornmental Economics Courses
Sarah Greene Environmental Economics ECON 4230 Addae Blessing  addaeb@rpi.edu 3-5 PM
Electrical, Computer, and Systems Engineering Courses
Prabhakar Neti Electrtical Energy Systems ECSE 2110 Onyejizu James  onyejj@rpi.edu 3-5 PM
Kimberly Oakes Signals and Systems ECSE 2410 Xie Junjie   4-6 PM
Dylan Rees Computer Architecture & Networks ECSE 2660 Onyejizhu James   3-5 PM
Dylan Rees Computer Architecture & Networks ECSE 2660 Onyejizhu James   3-5 PM
 
Computer Architecture & Networks
ECSE 2660 Koyshi Sk. Mridula   4-6 PM
Uwe Kruger Engineering Probability ECSE 2500-01 Paul Sudipta  pauls5@rpi.edu 5-7 PM 
Engineering Courses
Keith Taylor Engineering Dynamics ENGR 2090-01 Haque  Md Marjanul  haquem3@rpi.edu  4-6pm 
Keith Taylor Engineering Dyanmics ENGR 2090-02 Tasneem  Mohamad  tasnem2@rpi.edu  3-5 PM 
Sangwoo Lee Engineering Dynamics  ENGR 2090-03 Bhuiyan  Shorob  bhuiys2@rpi.edu  4-6 pm 
Sangwoo Lee Engineering Dynamics  ENGR 2090-03 Agbaje  Muiz  agbajm@rpi.edu  4-6pm 
Omar El-Shafee/Rahmi Ozisik Strength of Materials  ENGR 2300-03 Elgendy  Mohamed  elgenm@rpi.edu  5-7pm 
Omar El-Shafee/Rahmi Ozisik Strength of Materials  ENGR 2530-02 Elgendy  Mohamed  elgenm@rpi.edu  5-7 PM 
Xun Wang Mod & Analysis Uncertainty  ENGR 2600-01 Del Grosso  Michael  delgrm@rpi.edu  4-6 PM 
Pawel Keblinski Mod & Analysis Uncertainty  ENGR 2600-02 Rafi  Kamrul Hasan  rafik@rppi.edu  3-5 PM 
Xun Wang Mod & Analysis Uncertainty  ENGR 2600-03 Del Grosso  Michael  delgrm@rpi.edu  5-7 PM  
  Engineering Economics ENGR 4760 Pathak Safal   4-6 PM
  Introduction  to Engineering Design ENGR  2050 Liu Jianzhuo   3-5 PM
  Electronic Instrumentation ENGR 2300/4300 Kim Jesse   4-6 PM
Enviornmental Measurements Course
Wagner   Environmental Measurements ERTH 4190 Hudgins Michael hudgim@rpi.edu  4-6PM
Economic Courses
Robert Jones Intermediate Microeconomic Theory ECON 2010 Losada Agudelo Mariana losadm@rpi.edu 3-5 PM
Sarah Greene Money and Banking ECON 4130 Oparaugo Justin  oparaj@rpi.edu 6-8 PM 
Mina Mahmoudi International Economics & Globalization ECON 4190 Oparaugo Justin  oparaj@rpi.edu 5-7 PM 
  Enviornmental Economic ECON 4230 Addae Blessing   3-5 PM
Mechanical, Aerospace, and Nuclear Engineering Courses
Woodcock, Corey Fluid Mechanics MANE 2720-01 Bose  Alok bosea2@rpi.edu 6-8 PM
Woodcock, Corey Fluid Mechanics MANE 2720-02 Remneff Paul remnep@rpi.edu 4-6 PM 
Chowdhury, Arshad Elements of Mechanical Design MANE 4030-01 Dey Mithun deym2@rpi.edu 4-6 PM
Chowdhury, Arshad Elements of Mechanical Design MANE 4030-02 Islam Moinul islamm10@rpi.edu 6- 8 PM
Shahsavari, Ali/Housley, Kevin Aerospace Structure & Materials MANE 4060-01 Spiliopoulos Petros spilip@rpi.edu 4-6 PM 
Shahsavari, Ali/Housley, Kevin Aerospace Structure & Materials MANE 4060-02 Bhuiyan Shorob bhuiys2@rpi.edu 4-6 PM 
Housley, Kevin/Shahsavari, Ali Aerodynamics MANE 4070-01 Lodhiya Kairvi lodhik@rpi.edu 4- 6 PM
Housley, Kevin/Shahsavari, Ali Aerodynamics MANE 4070-02 Lodhiya Kairvi lodhik@rpi.edu 4-6 PM
Niemiec, Robert Modeling & Control of Dyn Systems MANE 4500-01 Nelson Cooper nelsoc6@rpi.edu 6-8 PM
Niemiec, Robert Modeling & Control of Dyn Systems MANE 4500-02 Nelson Cooper nelsoc6@rpi.edu 6-8 PM 
Borca-Tasciuc, Theo/Borca-Tasciuc, Diana Heat Transfer MANE 4730-01 Agirsoy Mehtap agirsm@rpi.edu 6-8 PM
  Inventor's Studio 1 MANE 2220   Ameke Elizabeth   4- 6 PM
Mathematical Courses
Ofori (adjunct) Introduction to Differential Equations MATH 2400-01 Liu Jianzhuo liuj44@rpi.edu 3-5PM
Kiehl/Zerbetto Traldi Foundations of Analysis MATH 4090-01 Akter Mosst Asma                    akterm@rpi.edu 5-7 PM 
Kiehl/Zerbetto Traldi Foundations of Analysis MATH 4090-02 Wang Qianyu  wangq30@rpi.edu 6-8 PM 
Stevenson/Zerbetto Traldi Linear Algebra MATH 4100-01 Wolski Zachery wolskz@pi.edu 3-5 PM 
Kovacic Introduction to Complex Variables MATH 4300/CS 4800 Abdulazeez Ibrahim  abduli2@rpi.edu 4-6 PM 
Kovacic Introduction to Complex Variables MATH 4300/CS4800 Corn Miles cornm@rpi.edu 5-7 PM 
Schwendeman/Banks Numerical Computing MATH 4800-01 Yu Qingzhou yuq4@rpi.edu 3-5 PM
Schwendeman/Banks Numerical Computing MATH 4800-02 Baidoo Emmanuel  baidoe@rpi.edu 6-8 PM
Physics Courses
West Computing for Physicists  PHYS 2962 Wang   Tianhong wangt13@rpi.edu 4-6 PM
Georg Group Theory for Physists PHYS 4962 Aglagul Denis aglagd@rpi.edu 5-7 PM 
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Learning Support

The Rensselaer academic experience brings many new and exciting challenges to some of the finest young minds in the world.  For such students, high school work may have been easy, with no need to study or to think about how to study.  The more challenging college curriculum, though, may require learning new skills to adapt to the new circumstances.  Academic support is also available for students referred by Rensselaer’s Office of Disability Services.

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ALEKS New Pilot Math Tutoring Program

What is ALEKS (Assessment and Learning in Knowledge Spaces)?  

ALEKS is an AI online program to help students prepare for Rensselaer’s Calculus 1. ALEKS develops an individualized program based the student’s math skills.  

The first step: Assessment

Students take the Initial Knowledge Check (IKC) of 25 questions that takes 60-90 minutes to complete. After the IKC, the students can view their strengths and weaknesses and begin to refresh their knowledge on forgotten topics, including trigonometry, linear functions, Vectors, Algebraic expressions, etc.

ALEKS Prep for Calculus at RPI:

  • Is a pilot program for a selected number of entering first year students
  • Has an Initial Knowledge Check
  • Provides Individualized Prep and Learning Modules that are self-paced

To complete the program and be better prepared for the fall semester, we will ask a selected number of participants to be involved in SIX-week math preparatory learning modules from end of June through August. What you need to know:

  • ALEKS Program will strengthen, and refresh knowledge needed for Fall
  • At Rensselaer, students cannot use calculators in their math classes
  • SIX weeks starts when the student hits “Select;”
  • The student’s commitment would be 4-5 hours per week for six weeks
  • Once the student starts the program, individualized work module and prompts will be given to help students through problems sets and encourage completion
  • Participants who complete 80%+ of the program will be put into a lottery for a $400 gift card to the RPI bookstore
  • ALAC and RPI’s Chatbot #Puckman will reach out to students periodically to encourage and troubleshoot any problems with the program

Due to the loss in math skills nationally over the pandemic years, Rensselaer has noticed an impact on our students’ knowledge level and recall of preparatory material for Calculus 1. Since math classes do not allow calculators, crib sheets or any other aids when taking a quiz or exams it is extremely important students can recall and use concepts from Pre-Calculus. Rensselaer wants to help students strengthen those skills by giving them an opportunity to practice and review topics. It is designed to help students regain that knowledge and succeed academically in the long run.

FAQ   

Who will be identified for ALEKS Prep for Calculus?

The Undergraduate Education Office will work with Admissions to select the students who would most benefit to participate in the program. 

How long it will take to complete the program?

The program will be active for 6 weeks, and for the best practice, you can expect 4-5 hours of commitment per week. We strongly encourage you to practice and complete tasks weekly to successfully complete the program.

How long do I have access to my Prep and Learning Module?

You will have 6 weeks of access to your Prep and Learning module. Access to the prep course will not begin until you select start on the top of your screen. DO NOT select into the Prep and Learning Module until you are ready to start working.  

When do I take the ALEKS PPL Assessment?

ALEKS will be open on June 26, 2023. Designated students will receive instructions on how to sign up and start the ALEKS PPL Assessment.

Is there a fee for using ALEKS PPL? It is FREE!

Do I need to install any software or plug-ins prior to taking the ALEKS Placement Assessment? No. There are no required plug-ins or applets required with your use of ALEKS. As long as you have access to the internet and are using an updated browser, you should not experience difficulties in accessing ALEKS.  For a list of preferred browsers, please review the ALEKS system requirements on their support site: http://www.aleks.com/support/system_requirements 

What are ALEKS Knowledge Checks? While working in a Prep and Learning Module, you will periodically complete a Knowledge Check to make sure you have mastered the topics you gained in Learning Mode. If you do not show mastery during the Knowledge Check, the topics will be added back into your Learning Pie so you can review them again.    

Technical Support 

What do I do if my web browser gets stuck or my computer crashes while I'm working in ALEKS? Simply close the browser, or log out and log back in. ALEKS will resume exactly where you left off, with no loss of your previous answers. 

Where can I get help with ALEKS? 

http://www.aleks.com/faqs/technical 

http://support.aleks.com/assess_placement  

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Remote Learning

Here you will find exectuive functioning information and tips that can help you during your online learning. 

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Learning Assistant Program

The Learning Assistant (LA) is a Rensselaer student who is responsible for assisting first-year students in becoming active, independent and successful learners.  LA's are assigned to a specific residence hall where they reside and assume responsibility for interacting frequently with the residents of that hall and providing academic-related programs, information and assistance. The LA provides a direct academic support service and acts as a liaison between Advising and Learning Assistance Center and their undergraduates.