Friday, January 20, 2012

The Computer Science Degree Problem

I was inspired by this post on Slashdot: Are You a Blue-Collar Or White-Collar Developer?

Lots of people sounding off not only about why employers shouldn't necessarily require degrees, but also about the inherent problem with computer science degrees.
It's kind of a sore subject with me, having personally experienced computer science curriculums from two different universities, and having researched programs from several others.

I think there are HUGE problems with every single CS degree program I've looked at, and I've checked out quite a few, even including Berkeley and Stanford.
Some are better than others, but all are still off the mark.

Here are the basics of my main argument:


I - Argument Basics:
    1 - People go to college to get a degree so they can get a good job
    2 - Employers in computing fields prefer a computer science degree
    3 - Employers in computing fields want people who already have the skills to do the job
    4 - Computer Science degrees do not teach people the skills to work in computing fields
    5 - "Vocational schools" suck

II - By computing fields I mean:
    1 - Application development (websites, EXEs, databases, etc)
    2 - Network management (routers, firewalls, switches, etc)
    3 - PC Support (software & hardware installation and troubleshooting)
    4 - Server Support (mail, web, database, etc)
    5 - Hardware programming (ROMs, CE devices, etc)


Supporting arguments:

Computer science is for scientists.
For people who are typically going to spend their careers researching the next best algorithm to solve a non-polynomial problem, or write journal entries to help advance the world of academics, and later the private sector.

Let's look at a sample degree programs, I'll pick on University of Michigan.
I should note that U of M's degree program is almost exactly the same as Oakland University's and Michigan Tech's, so I'm picking on a curriculum that matches classes I've taken (and passed), not teachers or facilities.
Having attended both OU and MTU, I can tell you the big difference:
OU has better teachers, but MTU looks better on for your resume.

And to be clear, I am not focusing on ELECTIVES or the options that a university offers, I am focusing on CORE REQUIREMENTS.
When you are looking at a graduate from this degree program, what guaranteed topics have they been required to pass?

University of Michigan

EECS 203. Discrete Mathematics
Introduction to the mathematical foundations of computer science. Topics covered include: propositional and predicate logic, set theory, function and relations, growth of functions and asymptotic notation, introduction to algorithms, elementary combinatorics and graph theory, and discrete probability theory.

Worthless. Did I say worthless? Let me clarify: WORTHLESS!!!!!


EECS 280. Programming and Introductory Data Structures
Techniques and algorithm development and effective programming, top-down analysis, structured programming, testing, and program correctness. Program language syntax and static and runtime semantics. Scope, procedure instantiation, recursion, abstract data types, and parameter passing methods. Structured data types, pointers, linked data structures, stacks, queues, arrays, records, and trees.

Introductory programming is probably the most relevant class here, although once they get into the structured data types, you start to lose a lot of relevance.
Not saying that there isn't good use for stacks, queues, etc. but that there are many many very successful programs and programmers who never use them and never need to.


EECS 281. Data Structures and Algorithms
Introduction to algorithm analysis and O-notation; Fundamental data structures including lists, stacks, queues, priority queues, hash tables, binary trees, search trees, balanced trees and graphs; searching and sorting algorithms; recursive algorithms; basic graph algorithms; introduction to greedy algorithms and divide and conquer strategy. Several programming assignments.

Almost entirely worthless.
It's nice to get a little insight on how a few search algorithms work, but in about a week you've gone beyond what most people need.
The few lucky people off writing database engines and compilers might need to optimize their code down to the millisecond or rebalance a tree, but for the computing fields in IT, you can be a great programmer and never use any of those things.


EECS 370. Introduction to Computer Organization
Basic concepts of computer organization and hardware. Instructions executed by a processor and how to use these instructions in simple assembly-language programs. Stored-program concept. Datapath and control for multiple implementations of a processor. Performance evaluation, pipelining, caches, virtual memory, input/output.

This is a nice one to round out the education of a computer professional.
Technically worthless as far as application in a job goes, but it's at least a nice token to actually understand the guts of what is running inside the computer.


EECS 376. Foundations of Computer Science
An introduction to computation theory: finite automata, regular languages, pushdown automata, context-free languages, Turing machines, recursive languages and functions, and computational complexity.

I can not stress to you how WORTHLESS this class is. I actually enjoyed the class on this topic that I took, but it has NO bearing on actual real work that pretty much anyone will ever do.
Ever.
A lot of this class involves using computational theories developed in the 1970s that are really nice but have almost no real world application.


EECS 496. Major Design Experience Professionalism
Design principles for multidisciplinary team projects, team strategies, entrepreneurial skills, ethics, social and environmental awareness, and life long learning.

GREAT class.
Unfortunately they probably don't actually teach you what you need to know in order to pass this class, but whatever experience you can gain from this class is likely worth it's weight in gold.


So after slinging all the mud at this degree program, I can tell you some of the key components that are missing.
Basically I believe that the assumption about students with Computer Science degrees from places like U of M is that they are technical experts in the latest computing fields, and that they know everything about computers.
That may be the case, but odds are the students learned it on their own, not through the classes.

Nowhere on the degree program does it tell you how to do anything like this:
- Install an operating system (Windows, Linux, etc)
- Troubleshoot software problems (Office, FireFox, MySQL, anything!)
- Work with a database
- Work with a network (TCP/IP?)
- Troubleshoot hardware problems or device drivers
- Basic graphic design


Here's what I do every day, and I am among the majority of the masses of programmers:
- Write a program to connect a user to a database

The closest they get is in EECS 280, and that's pretty much their intro to programming class!

The trouble is that the CS degree is a broad umbrella where they try to require the "basics" and then expect you to take the proper electives.
They are requiring the wrong basics.

I think they also start off a little too easy on the programming topics too.
Engineering programs don't start you off with algebra, they assume you are ready for calculus.
Computer Science should assume you have already done some programming, and if not you can sign up for an elective to learn it.
Classes should be fast paced, you can NOT afford to miss a day, and there are assignments due each week.

Since they require 6 classes, I'll take a stab at replacing those 6 with a better set.

COMP 101: Programming 101
Basic concepts of programming, along with development toward a realistic application.
If a student aced just this class they should be able to go get a job.


Weeks 1-3: OOP, data structures, etc.
Weeks 4-6: Basic web programming
(NOTE: Use a current language! Java, C#, Ruby, Python, etc.)
Weeks 7-10: Basic executable programming (i.e. winforms)
Weeks 11-13: Basic database programming
Weeks 14-16: Tie all of it together and end up with a nice looking application

COMP 102: Computer maintenance
Basic concepts of computer administration on multiple CURRENT platforms.
Someone who aced this class could do helpdesk or PC deployment.

Weeks 1-3: Microsoft Windows - Install the OS, some applications (Office, IE, Firefox), device drivers and services, check out the registry
Weeks 4-6: Command prompt - Put your mouse away
Weeks 7-10: Linux - Install the OS, some applications, drivers and daemons
Weeks 11-14: Shells: Bash, TCSH, KSH, etc
Weeks 15-16: MacOS - Install some apps, click away

COMP 103: Multimedia Design
Basic concepts of multiple aspects of design using CURRENT technologies. (CS3)
Someone who aced this could be an entry level graphic designer.


Weeks 1-3: Image editing (Photoshop, Gimp, etc)
Weeks 4-6: Video editing
Weeks 7-9: Audio editing
Weeks 10-12: CSS
Weeks 13-16: Flash

COMP 201: Advanced Programming
Broader discipline for programming.

Someone who aced this would be considered an expert programmer.


Weeks 1-3: SQL query language (Use a current language! MSSQL or Oracle)
Weeks 4-6: Network programming - Write actual code to open ports and send info over the wire
Weeks 7-9: Assembly language - Write some, learn about different processor architectures, etc
Weeks 10-13: Hardware programming - Interface with a piece of programmable hardware, write some PWMs, etc
Weeks 14-16: Advanced web based programming - AJAX, internet APIs, jQuery, cloud computing

COMP 202: Advanced computer maintenance
More complex administrative topics, more server and infrastructure based.
Someone who aced this could get a job as an entry level server administrator.


Weeks 1-4: Microsoft Windows Server, SQL Server, Exchange, IIS - Install and configure
Weeks 5-8: Unix, Oracle (Unix, Windows or Linux), Apache
Weeks 9-12: Network software - NDIS, (snort, ethereal), learn what RFCs are
Weeks 13-16: Network hardware - Routers, firewalls, etc


COMP 301: Hacking
NOTE: Hacking, not cracking. Yes there is a difference.
What to do when the standard programming methods don't work.


Weeks 1-4: Programming attacks: Hex editors, process viewers, memory editors, registry, decompilers
Weeks 5-8: Programming defense: Writing secure code, type checking, managed code, obfuscators, digital certificates
Weeks 9-12: Admin Attacks: DDOS, buffer overflows, trojans, malware, spyware, viruses (in depth education, not writing them)
Weeks 13-16: Admin Defense: Creating a secure infrastructures, antivirus, intrusion detection

There is a TON still missing from this list, but like I promised, six classes.

I think in the end what needs to happen is a NEW degree program needs to be created, called something like Software Engineering or something.
Structure it right, and then watch as the MASSES flock to it and the old Computer Science degree program dies a horrible death when no one signs up.