As defined P. Denning et al. in an 1989 ACM report on Computing as a Discipline, computing is the "systematic study of algorithmic processes that describe and transform information: their theory, analysis, design, efficiency, implementation, and application. The fundamental question underlying all computing is what can be (efficiently) automated?". This course precisely aims at introducing the science (and the art) of computing to students with little or no prior background in the matter.
Given the inherent vastity of the topics involved in computing, the course will focus on a subset of the core aspects of computing, providing a brief, yet substantial introduction to many topics. The goal is to provide an idea of what's possible and how to realize it when it's useful (or, most often, necessary) to employ computation and computers to accomplish a complex goal.
The course will balance the discussion of concepts central to design and understand computation with their practical implementation and testing using a specific programming language, Python. The choice of python is motivated by its widespread use, relative simplicity, availability of tools for scientific, graphical, and web programming, among others.
The course will take the student along the way that starts from a complex, possibly large problem to solve, and then move step by step to its abstraction, to its formalization into an algorithmic recipe, to the encoding of the algorithm using the constructs of the python language, to the run-time execution and error correction of the programming code, to the efficiency analysis of the developed algorithm and code. A number of practical application scenarios will be considered to ground the concepts to problems of interest.
In a nutshell, the course will tackle the following topics:
While the theoretical understanding of the concepts is always fundamental, the course emphasizes hands-on, meaning that learning will be mostly driven by the repeated implementation and application in python of the general concepts. Weekly lab classes and programming homework will support this way of proceeding. In the final three weeks, a project work will be devoloped by the students, that will allow to face the challenge of designing and implementing a relatively large and complex code.
This is a 10 unit course.
|Sundays and Tuesdays||13:30 to 14:50||2052||lectures|
|Thursdays||13:30 to 14:50||2062||labs|
In the table below, labs are in blue, exams are in red and the next lecture/lab is orange. Green days are in the past, and grey days have no lectures.
Office hours: by appointment
Office hours: by appointment
There will be weekly homework assignments.
Getting the AssignmentsThe writeup and starter files for each assignment can be found on Autolab. Log in with your andrewID, select the course and then the assignment. You can see the
zipfile which can be downloaded by clicking on "Download handout". Uncompressing this file will create the directory
<asgn>-handoutwith the starter code. If you need to download these files again, be careful not to overwrite your work!
Submitting the AssignmentsYou need to submit a
zipfile containing the completed started code.
zip file needs to be submitted to
It will immediately run a series of tests on your code and give you a
score with some feedback. Make sure to check it! If your code does not
pass all tests, you can submit it again until the deadline. You are limited to a total of 10 submissions
for each assignment.
Set up your your programming environment by installing the Anaconda distribution (Pyhton 3.7 version):
Anaconda-Navigatorand launch from there the
Spydereditor, which you will use to develop and test your python code.
Collaboration is regulated by the whiteboard policy: you can bounce ideas about a homework with other students, but when it comes to typing it down for submission, you are on your own. You are not allowed to use notes, files, pictures, etc, from any previous discussion nor previous versions of this course.
We will run a program that detects code similarity on all your homework submissions. If students are found to have submitted almost the same code, they will be contacted and this may result on an academic integrity violation report.
Carnegie Mellon University is committed to providing reasonable accommodations for all persons with disabilities. To access accommodation services you are expected to initiate the request and submit a Voluntary Disclosure of Disability Form to the office of Health & Wellness or CaPS-Q. In order to receive services/accommodations, verification of a disability is required as recommended in writing by a doctor, licensed psychologist or psycho-educational specialist. The office of Health & Wellness, CaPS-Q and Office of Disability Resources in Pittsburgh will review the information you provide. All information will be considered confidential and only released to appropriate persons on a need to know basis.
Once the accommodations have been approved, you will be issued a Summary of Accommodations Memorandum documenting the disability and describing the accommodation. You are responsible for providing the Memorandum to your professors at the beginning of each semester.
Do your best to maintain a healthy lifestyle this semester by eating well, exercising, getting enough sleep and taking some time to relax. This will help you achieve your goals and cope with stress.
All of us benefit from support during times of struggle. You are not alone. There are many helpful resources available on campus and an important part of the college experience is learning how to ask for help. Asking for support sooner rather than later is often helpful.
If you or anyone you know experiences any academic stress, difficult life events, or feelings like anxiety or depression, we strongly encourage you to seek support. Counseling and Psychological Services (CaPS-Q) is here to help: call 4454 8525 or make an appointment to see the counselor by emailing email@example.com. Consider reaching out to a friend, faculty or family member you trust for help.
If you or someone you know is feeling suicidal or in danger of self-harm, call someone immediately, day or night at 5554 7913. If the situation is life threatening, call 999.