Dr. Ramon Lawrence, [email protected], 250-807-9390
Live Classroom Schedule: 9:30 a.m. to 11:00 a.m. Tuesday/Thursday
Mode of Delivery: ASC 140 and live-stream on Zoom
Office Hours: Thursdays 2 to 4 p.m. (in-person and online)
Office Location: SCI 200C
Calendar Course Description from the UBCO Calendar: https://okanagan.calendar.ubc.ca/course-descriptions/subject/cosco
| Day/Time | TA/Instructor |
|---|---|
| Monday 9 to 11 a.m. | Meghdad Dehghan / Omar Abdelaziz |
| Monday 2 to 4 p.m. | Bradan Fleming / Kevin Wang |
| Tuesday 9:30 a.m. to 11:00 a.m. (class time) | Meghdad Dehghan / Kevin Wang |
| Tuesday 2 to 4 p.m. | Meghdad Dehghan / Omar Abdelaziz |
| Wednesday 2 to 4 p.m. | Bradan Fleming / Omar Abdelaziz |
| Thursday 9:30 a.m. to 11:00 a.m. (class time) | Kevin Wang |
| Thursday 2 to 4 p.m. | Dr. Ramon Lawrence (virtual and in-person) |
| Friday 1 to 3 p.m. | Bradan Fleming |
| Friday 3 to 5 p.m. | Omar Abdelaziz / Kevin Wang |
For support in office hours and other times, join a queue or ask a question on the HelpMe system at: https://coursehelp.ubc.ca/invite?cid=20&code=304
Login with your CWL user id and password.
PrairieLearn online system (login with your CWL): https://plcanary.ok.ubc.ca/
iClicker join code: https://join.iclicker.com/INWS
Official Calendar: Databases from a user's perspective: querying with SQL, designing with UML, and using programs to analyze data. Construction of database-driven applications and websites and experience with current database technologies. Completion of COSC 121 is recommended. Prerequisite: One of COSC 111, COSC 123, COSC 210. Third-year standing.
Specific description: This course provides an introduction to database systems including database querying, design, and programming. The course consists of three major components. The first component explains databases from a user perspective including how to query using SQL and relational algebra. The second component involves designing relational databases using Entity-Relationship (ER) diagrams and UML. The last component involves experiential learning on real-world use cases of databases for software development and data analytics. Technologies used include Java, JDBC, JSP, Python, Node.js, and PHP. Students completing the course have experience with current database technologies, and the ability to use databases, analyze the contained data, and develop programs to automate data analysis and presentation.
Course Format: Interactive classes consist of topic introduction, understanding evaluation using quick questions, and concept mastery with larger exercises. Practical skills and applications of topics are covered in assignments as well as practice using industrial database systems and software.
Learning Outcomes:
- Describe how databases provide data abstraction and simplify writing programs to store and manipulate data.
- Create relational algebra queries on relational databases using selection, projection, join, and set operators.
- Construct SQL CREATE TABLE, INSERT, UPDATE, DELETE, and SELECT statements including queries with multiple joins, aggregation, grouping, and subqueries. Explain the translation of a SQL query into relational algebra operators.
- Analyze and understand existing database designs, design new databases using ER/UML modeling, and convert designs to the relational model including proper modeling of primary and foreign keys.
- Develop programs and web sites that access a database to read data, perform analysis, and display output.
- Perform data analysis, reporting, and visualization using data extracted from databases.
- Use JSON and XML for data exchange and representation.
- Execute and deploy databases on a computer using virtualization/containerization technology such as Docker.
- Implement database security using user accounts/passwords and SQL privileges using GRANT and REVOKE.
| Item | Weighting | Description |
|---|---|---|
| Quizzes and Exercises | 10% | Online and during class time activities |
| Assignments | 20% | Weekly assignments |
| Midterm #1 | 15% | October 8th in class |
| Midterm #2 | 15% | November 5th in class |
| Final Exam | 40% | Cumulative, 2.5 hours, exams require a laptop December 16, 2024 at 7:00PM in COM 201 |
A student must receive a combined grade of at least 50% on the exams (midterms and final) to pass the course. Otherwise, the student receives a maximum overall grade of 45.
The formula used is:
Midterm1 Percentage Mark * 15 + Midterm2 Percentage Mark * 15 + Final Exam Percentage Mark * 40
For example, if the midterm 1 percentage mark was 80%, the midterm 2 percentage mark was 60%, and the final percentage mark was 40%, then .80 * 15 + .60 * 15 + .40 * 40 = 37. This is >= 35, which is 50% of the 70 total possible percentage marks for all exams combined.
- All notes are online.
- A textbook is not required. Students can get supplemental material from any database textbook.
- The course uses iClicker Cloud (free). Setup instructions for iClicker Cloud Student Account. iClicker Cloud Login
- Attend all classes and prepare before attending class.
- Read the notes before the class time. Expect to spend about five hours per week in out-of-class preparation.
- Learn the material in the course by completing all assignments. No late assignments are accepted.
- Enjoy attending class activities and participating according to your personality. Ask questions by posting in chat or raising your hand.
- Please actively participate in class discussions, questions, and problem solving exercises.
- I want all students to pass the course, receive a good grade, and feel the course was beneficial.
| Lab | Date | Topic |
|---|---|---|
| September 2 – 6 | No Lab during First Week of Class | |
| 1 | September 9 – 13 | Lab 1: Querying using Relational Algebra |
| 2 | September 16 – 20 | Lab 2: SQL DDL: CREATE, INSERT, UPDATE, and DELETE |
| 3 | September 23 – 27 | Lab 3: Writing SQL queries |
| 4 | Sept. 30 – Oct. 4 | Lab 4: Database Design using UML Modeling |
| 5 | October 7 – 18 | Lab 5: Converting UML Diagrams into the Relational Model |
| 6 | October 21 – 25 | Lab 6: Programming with Java/Python using MySQL and SQL Server |
| Lab | Date | Topic |
|---|---|---|
| 7 | Oct. 28 – Nov. 1 | Lab 7: Building a Database-enabled Web Site using JSP/PHP/Node |
| 8 | November 4 – 8 | Lab 8: Images, Security, and Transactions |
| November 11 - 15 | No Lab during Midterm Break | |
| 9 | November 18 - 22 | Lab 9: XML, JSON, Views, and Triggers |
| 10 | Nov. 25 - Dec. 6 | Lab 10: Project Completion |
| Lab | Date | Topic |
|---|---|---|
| 7 | Oct. 28 – Nov. 1 | Lab 7: Using Databases with Analysis Software (Excel) |
| 8 | November 4 – 8 | Lab 8: Data Prediction, Forecasting, and Visualization |
| November 11 - 15 | No Lab during Midterm Break | |
| 9 | November 18 - 22 | Lab 9: Handling Data Formats (CSV, XML, JSON) |
| 10 | Nov. 25 - Dec. 6 | Lab 10: Project Completion |
UBC creates an exceptional learning environment that fosters global citizenship, advances a civil and sustainable society, and supports outstanding research to serve the people of British Columbia, Canada, and the world. UBC’s core values are excellence, integrity, respect, academic freedom, and accountability.
Visit UBC Okanagan’s Academic Calendar for a list of campus-wide regulations and policies, as well as term dates and deadlines.
Only students who miss the final exam for a reason that corresponds to the University of British Columbia Okanagan's policy on excused absences from examinations will be permitted to take the final exam at a later time. A make-up exam may have a question format different from the regular exam. There will be no make-up midterm exams. If the reason for absence is satisfactory, the student’s final exam will be worth more of the final grade. Further information on Academic Concession is in the Academic Calendar http://www.calendar.ubc.ca/okanagan/index.cfm?tree=3,48,0,0.
Diagrams and figures included in lecture presentations adhere to Copyright Guidelines for UBC Faculty, Staff and Students http://copyright.ubc.ca/requirements/copyright-guidelines/ and UBC Fair Dealing Requirements for Faculty and Staff http://copyright.ubc.ca/requirements/fair-dealing/.
A student who has a complaint related to this course should follow the procedures summarized below:
- The student should attempt to resolve the matter with the instructor first. Students may talk first to someone other than the instructor if they do not feel, for whatever reason, that they can directly approach the instructor.
- If the complaint is not resolved to the student's satisfaction, the student should e-mail the Associate Head, Dr. Warren Hare, [email protected].
Your responsibilities to this class and to your education as a whole include attendance and participation. You have a responsibility to help create a classroom environment where all may learn. At the most basic level, this means you will respect the other members of the class and the instructor and treat them with the courtesy you hope to receive in return. Inappropriate classroom behavior may include: disruption of the classroom atmosphere, engaging in non-class activities, talking on a cell-phone, inappropriate use of profanity in classroom discussion, use of abusive or disrespectful language toward the instructor, a student in the class, or about other individuals or groups.
The academic enterprise is founded on honesty, civility, and integrity. As members of this enterprise, all students are expected to know, understand, and follow the codes of conduct regarding academic integrity. At the most basic level, this means submitting only original work done by you and acknowledging all sources of information or ideas and attributing them to others as required. This also means you should not cheat, copy, or mislead others about what is your work; nor should you help others to do the same. For example, it is prohibited to: share your past assignments and answers with other students; work with other students on an assignment when an instructor has not expressly given permission; or spread information through word of mouth, social media, websites, or other channels that subverts the fair evaluation of a class exercise, or assessment. Learn more through the Academic Integrity website.
Violations of academic integrity (i.e., academic misconduct) lead to the breakdown of the academic enterprise, and therefore serious consequences arise and harsh sanctions are imposed. For example, incidences of plagiarism or cheating may result in a mark of zero on the assignment or exam and more serious consequences may apply if the matter is referred for consideration for academic discipline. Careful records are kept to monitor and prevent recurrences. Any instance of cheating or taking credit for someone else’s work, whether intentionally or unintentionally, can and often will result in at minimum a grade of zero for the assignment, and these cases will be reported to the Head of the Department and Associate Dean Academic of the Faculty.
The use of artificial intelligence (AI) assistance, such as ChatGPT or GitHub Copilot, for any assessed portions of this course is not permitted unless explicitly specified by the instructor.
Academic integrity is critical to being a professional developer and a respected person. This is a guide to what is and is not acceptable behaviors in this course.
- Collaboration in groups of up to 4 on Canvas quizzes and in-class exercises
- One person providing all answers for a quiz/exercise to a group of people of any size
- Sharing, posting, or distributing answers to other students or websites for quizzes/exercises
- Answering questions for another student or submitting answers on their behalf
- Requesting help from previous students in the course or other individuals outside of the course
- Relying on others to do work for me or not contributing reasonable effort to group activities
- Dividing up the work for a quiz or exercise between members of an approved group (Not Recommended)
- Collaborating with your approved group members (usually two) and submitting a shared answer to the assignment
- Request help from the TA or instructor and use the answer/code that they provide
- Answer general questions about assignments in chat or discussion forums (Allowed with care)
- Working on an individual assignment with a group of people and submitting minor variations of work developed together
- For group assignments, completing all work independently and providing an answer to the rest of group
- Sharing solutions to assignments with other students or on the Internet
- Receiving solutions to assignments from other sources (students, web, tutors, AI)
- Using approved material for the given exam format:
- open book: all course material including assignments, notes, and quizzes. No online/AI resources. No use of Google Docs. No secondary devices.
- closed book: one page (two sides) personal notes on paper
- Using any non-approved resource (people, AI, web, etc.) for exams (severe)
- Allowing another person to write or complete any part of any exam (severe)
- Posting or providing answers to students who have not yet completed the exam
- Requesting help from other people or web services for open book exams
- Posting or providing exam questions and answers after the exam has been completed
Faculties, departments, and schools reserve the right to scale grades in order to maintain equity among sections and conformity to University, faculty, department, or school norms. Students should therefore note that an unofficial grade given by an instructor might be changed by the faculty, department, or school. Grades are not official until they appear on a student's academic record. http://www.calendar.ubc.ca/okanagan/index.cfm?tree=3,41,90,1014 If you have any questions about how academic integrity applies to this course, please consult with your professor.
The Disability Resource Centre (DRC) facilitates disability-related accommodations and programming initiatives that ameliorate barriers for students with disabilities and/or ongoing medical conditions. If you require academic accommodations to achieve the objectives of a course, please contact the DRC at: University Centre building (UNC 215). Ph: 250.807.8053 Email: [email protected] Web: https://students.ok.ubc.ca/drc
Through leadership, vision, and collaborative action, the Equity & Inclusion Office (EIO) develops action strategies in support of efforts to embed equity and inclusion in the daily operations across the campus. The EIO provides education and training from cultivating respectful, inclusive spaces and communities to understanding unconscious/implicit bias and its operation within in campus environments. UBC Policy 3 prohibits discrimination and harassment on the basis of BC’s Human Rights Code. If you require assistance related to an issue of equity, educational programs, discrimination or harassment please contact the EIO. Office: UNC 325H Ph: 250.807.9291 Email: [email protected] Web: https://equity.ok.ubc.ca
The Office of the Ombudsperson for Students is an independent, confidential and impartial resource to ensure students are treated fairly. The Ombuds Office helps students navigate campus-related fairness concerns. They work with UBC community members individually and at the systemic level to ensure students are treated fairly and can learn, work and live in a fair, equitable and respectful environment. Ombuds helps students gain clarity on UBC policies and procedures, explore options, identify next steps, recommend resources, plan strategies and receive objective feedback to promote constructive problem solving. If you require assistance, please feel free to reach out for more information or to arrange an appointment. Office: UNC 217 Ph: 250.807.9818 Email: [email protected] Web: https://ombudsoffice.ubc.ca
The Sexual Violence Prevention and Response Office (SVPRO) is a confidential place for those who have been impacted by any form of sexual or gender-based violence, harassment, or harm, regardless of where or when it took place. SVPRO aims to be a safer space for all UBC students, faculty, and staff by respecting each person’s unique and multiple identities and experiences. All genders and sexualities are welcome. Nicola Townhome 120, 1270 International Mews 250.807.8053 Email: vpro.ok.ubc.ca Web: www.svpro.ok.ubc.ca
The Student Learning Hub is your go-to resource for free math, science, writing, and language learning support. The Hub welcomes undergraduate students from all disciplines and year levels to access a range of supports that include tutoring in math, sciences, languages, and writing, as well as help with academic integrity, study skills and learning strategies. Students are encouraged to visit often and early to build the skills, strategies and behaviours that are essential to being a confident and independent learner. For more information, please visit the Hub’s website. LIB 237. Ph: 250.807.8491 Email: [email protected] https://students.ok.ubc.ca/student-learning-hub
Wellbeing and Accessibility Services (WAS) supports holistic student wellbeing in body, mind, and spirit. Students can access nurses, physicians and counsellors for health care and counselling related to physical health, emotional/mental health and sexual/reproductive health concerns. WAS is also home to the Disability Resource Centre, Spiritual and Multi-Faith Services, and Campus Health and Education. If you require assistance with your health, please contact Wellbeing and Accessibility Services for more information or to book an appointment. UNC 337 250.807.9270 Email: [email protected] Web: www.students.ok.ubc.ca/was
Don't want to walk alone at night? Not too sure how to get somewhere on campus? Call Safewalk at 250-807-8076. For more information: https://security.ok.ubc.ca/safewalk or download the UBC SAFE – Okanagan app.
- SQL for Web Nerds
- SQL Tutorial by Software Carpentry - uses SQLite and demonstrates using databases with Python/R
- Codecademy SQL course
- Amazon Database Blog
- Sample databases WorksOn (SQL Notes): WorksOn, WorksOn DDL
