535.743.81 - Intermediate Applied Artificial Intelligence in Mechanical Engineering

Expanded Course Description

This course offers an intermediate/advanced applied Artificial Intelligence (AI) in Johns Hopkins’s Engineering for Professionals (EP), various Mechanical Engineering concentrations. However, the skills learned in this course can be applied to any other field. It covers foundational machine learning tools from Scikit-Learn metrics and data manipulation tools to GPU-based TensorFlow and PyTorch Python Application Programming Interfaces (APIs) by practicing simple coding (mostly Python 3+) to near industrial-level Object-Oriented Programming (OOP) using Jupyter Notebooks (Google Colab or remote), GitHub, Visual Studio Code, and Dockers. Topics covered include but are not limited to Keras Applications, Transfer Learning, Fine-Tuning, Self-Supervised Learning, Generative Adversarial Networks, Diffusion Models, Super-Resolution, Image Translation, Object Detection and Segmentation, Natural Language Processing (NLP), Transformers, APIs, Flask Web Applications, Machine Learning Operations (MLOps), and DevOps. Computational resources for this course are free and paid versions of Google Colab, Johns Hopkins Arch limited A100 GPUs (Open OnDemand and remote access), and any remote free or paid GPU services (e.g., Google Cloud, AWS, Azure, Kaggle, Lambdalabs, and Paperspace), and GitHub Codespaces. Through a blend of theoretical instruction and hands-on exercises, students will master the algorithms, methodologies, and tools required to solve complex engineering challenges using AI techniques, from data acquisition and cleansing to AI services through industrial-level web application development. Emphasis will be placed on real-world applications and state-of-the-art technologies to equip students with the skill set required to implement AI solutions effectively and securely in various engineering contexts. You do NOT need to be a Mechanical Engineer student to take this course.

Academic Policies

Deadlines for Adding, Dropping and Withdrawing from Courses

Students may add a course up to one week after the start of the term for that particular course. Students may drop courses according to the drop deadlines outlined in the EP academic calendar (https://ep.jhu.edu/student-services/academic-calendar/). Between the 6th week of the class and prior to the final withdrawal deadline, a student may withdraw from a course with a W on their academic record. A record of the course will remain on the academic record with a W appearing in the grade column to indicate that the student registered and withdrew from the course.

Academic Misconduct Policy

All students are required to read, know, and comply with the Johns Hopkins University Krieger School of Arts and Sciences (KSAS) / Whiting School of Engineering (WSE) Procedures for Handling Allegations of Misconduct by Full-Time and Part-Time Graduate Students.

This policy prohibits academic misconduct, including but not limited to the following: cheating or facilitating cheating; plagiarism; reuse of assignments; unauthorized collaboration; alteration of graded assignments; and unfair competition. Course materials (old assignments, texts, or examinations, etc.) should not be shared unless authorized by the course instructor. Any questions related to this policy should be directed to EP’s academic integrity officer at ep-academic-integrity@jhu.edu.

Students with Disabilities - Accommodations and Accessibility

Johns Hopkins University values diversity and inclusion. We are committed to providing welcoming, equitable, and accessible educational experiences for all students. Students with disabilities (including those with psychological conditions, medical conditions and temporary disabilities) can request accommodations for this course by providing an Accommodation Letter issued by Student Disability Services (SDS). Please request accommodations for this course as early as possible to provide time for effective communication and arrangements.

For further information or to start the process of requesting accommodations, please contact Student Disability Services at Engineering for Professionals, ep-disability-svcs@jhu.edu.

Student Conduct Code

The fundamental purpose of the JHU regulation of student conduct is to promote and to protect the health, safety, welfare, property, and rights of all members of the University community as well as to promote the orderly operation of the University and to safeguard its property and facilities. As members of the University community, students accept certain responsibilities which support the educational mission and create an environment in which all students are afforded the same opportunity to succeed academically. 

For a full description of the code please visit the following website: https://studentaffairs.jhu.edu/policies-guidelines/student-code/

Classroom Climate

JHU is committed to creating a classroom environment that values the diversity of experiences and perspectives that all students bring. Everyone has the right to be treated with dignity and respect. Fostering an inclusive climate is important. Research and experience show that students who interact with peers who are different from themselves learn new things and experience tangible educational outcomes. At no time in this learning process should someone be singled out or treated unequally on the basis of any seen or unseen part of their identity. 
 
If you have concerns in this course about harassment, discrimination, or any unequal treatment, or if you seek accommodations or resources, please reach out to the course instructor directly. Reporting will never impact your course grade. You may also share concerns with your program chair, the Assistant Dean for Diversity and Inclusion, or the Office of Institutional Equity. In handling reports, people will protect your privacy as much as possible, but faculty and staff are required to officially report information for some cases (e.g. sexual harassment).

Course Auditing

When a student enrolls in an EP course with “audit” status, the student must reach an understanding with the instructor as to what is required to earn the “audit.” If the student does not meet those expectations, the instructor must notify the EP Registration Team [EP-Registration@exchange.johnshopkins.edu] in order for the student to be retroactively dropped or withdrawn from the course (depending on when the "audit" was requested and in accordance with EP registration deadlines). All lecture content will remain accessible to auditing students, but access to all other course material is left to the discretion of the instructor.