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What is the Data hierarchy?
DIKW → Data, Information, Knowledge, Wisdom
What is Data in the data hierarchy?
Raw and unorganized facts that lack context or meaning. Eg, Test score of 75
What is Information in the data hierarchy?
The output after data has been processed, organized, or structured. It is now ready to visualize or analyse. Eg, somebody got 75% on a test
What is Knowledge in the data hierarchy?
When more meaning can be derived from information, which is then applied to do something. Eg, tests were used to determine how successful students are
What is Wisdom in the data hierarchy?
Wisdom is the application of knowledge. When knowledge and insight are used to make decisions, find patterns, and make predictions. Eg, a teacher using previous grades to submit an IB predicted one
What are some types of data?
Medical, financial, meteorological, geographic, scientific, metadata
What is Data mining?
The process of finding patterns and correlations as well as anomalies, within large sets of data
What is data matching?
The process of comparing two different sets of data with the aim of finding data about the same entity
What are the stages of the data life cycle?
Data creation → Storage → Usage → Preservation → Destruction
What is data creation?
Simply the creation / finding of data. It can take many forms and can enter systems through various ways.
What is data storage?
Once data has been created, it is stored in places with different levels of security. It must also be configured to set its formatting, and who it can be accessed by. (Read, modify, full control)
What is data usage?
Once data is stored, it can be viewed in its raw format, or be processed and presented. This can then be analysed and shared with others to find patterns or extract out information.
What is data preservation?
After it is analysed, it is important that this data is preserved by an organization for various reasons, namely to be reused for checking or future unseen purposes.
What is data destruction?
Data cannot be kept forver, as it has costs associated with it. It must be destroyed and can be done so physically (shredding), or internally (software wiping). There are also regulations associated with data protection that may require destruction.
What is primary and secondary data?
Primary data is original and collected for the first time for your purpose. Secondary data is data that has already been collected by someone else for a different purpose, but that may be usefyul to you.
What is validation and verification in database design?
Validation means that only suitable data can be entered. This could look like only taking certain formats, and configuring checks, minimizing errors. Verification checks that the data that is entered is the actual data that you want, or that it matches the original source. This could look like double entry of your password.
Explain encryption.
Encryption is the process of masking readable data into unreadable characters to prevent unauthorized access. These use encryption keys which are used to cypher and decypher the data. This can be done symmetrically, where a the same key is used to encode and decode, or asymmetrically, where a private key is kept secret for decryption, but the public key is widely distributed for encryption.
What is the blockchain?
A blockchain is a shared digital ledger where a global network of computers keeps identical copies of the exact same record history, meaning no single person or company controls the data. Every time new information is added, it is permanently locked to the previous entries like links in a chain, making it completely impossible for anyone to secretly alter or fake past records.
What are the 4 Vs (Characteristics of big data)
Volume, velocity, variety, veracity.
What are some data dilemmas?
Biased data from collection, viruses and malware, reliability and validity of sources, outdated data.
What are the characteristics of an algorithm
Unambiguous, finite, well defined, inputs, outputs, feasible, independent
What are some components of an algorithm
Instructions, variables, conditionals, loops
How can algorithms be represented?
Natural language, flowcharts, code and programming languages.
What are some uses of algorithms?
Searching, filtering, counting, sorting → Prioritization in social media, Page Rank
What are some algorithmic dilemmas?
Algorithms replacing human judgements, algorithmic bias in the data or in the algorithm itself, black boxes and lack of transparency
What are the types of computers?
Embedded computers (computers in kitchen appliences), personal computers (PCs), mainframe computers / servers
What is Moore’s Law?
The number of transistors in a dense integrated circuit (CPU, RAM, storage) doubles every two years.
What is the general model of every computer?
Input → Process → Output
What are some hardware components of a computer?
Motherboard, CPU, RAM, secondary storage (HDD or SSD), power (PSU)
What are some components of computer software?
Operating systems (OS such as ChromeOS, Apple MacOS, Windows, Linux), user interfaces (GUIs)
What are some classifications of software?
Utility (perform specific tasks that help maintain the computer), application (other programs that serve a purpose), open-source, proprietary, malicious.
What are some forms of copmuter coding
Machine code, assembly language, high-level languages, compilers
What are the stages of the evolution of computing?
First generation: vacuum tubes (1940-46)
Second generation: transistors (1956-63)
Third generation: integrated circuits (1964-71)
Fourth generation: microprocessors (1971-2010)
Fifth generation: artificial intelligence (2010-present)
Quantum computing is also a thing, could be a big deal going forward
What is unique to the first generation of computing? (1940-1946)
Vacuum tubes were used and they serve the same function as transistors now. Memory used metal drums. These were inefficient, took days, and would frequently overheat.
What is unique to the second generation of computing? (1956-1963)
The first transistors were developped. Punch cards and paper tapes were still used, although computers were slightly smaller and more reliable. Assembly was introduced and so were the first high-level languages (COBOL and FORTRAN).
What is unique to the third generation of computing? (1964-1971)
Transistors were finally made using silicon, allowing for integrated circuits rather than bulky machines. THey were more efficient, reliable, faster, and were able to multitask. Input devices such as keyboards and mouses were finally installed. High-level languages such as BASIC and Pascal were introduced.
What is unique to the fourth generation of computing? (1971-2010)
Chips got much smaller and more efficient, with even more processing power. PCs were also standardized to have RAM, CPU, HDD. Personal computers gained prevalence, and languages such as Python, C#, and JS were popularized.
What is unique to the fifth generation of computing? (2010-present)
Although the computers themselves are similar, the introduction of superchips has lead to artificial intelligence, and computing is still changing radically. Natural language is also becoming more prevalent as input.
What is unique to quantum computing?
Unlike binary bits, quantum computing uses qubits, which can be placed in superposition to be both 0 and 1 and anywhere inbetween. This allows for the computation of multiple options at the same time, making certain problems magnitudes faster. Its important in cybersecurity, drug development, financing, weather, and more.