What will i learn?
Curriculum for this course
14 Topics
1.1 Decomposition and abstraction
2 Sub Topics
- Understand the benefit of using decomposition and abstraction to model aspects of the real world and analyse, understand and solve problems
- Understand the benefits of using subprograms
1.2 Algorithms
7 Sub Topics
- be able to follow and write algorithms (flowcharts, pseudocode*, program code) that use sequence, selection, repetition (count-controlled, condition-controlled) and iteration (over every item in a data structure), and input, processing and output to s
- understand the need for and be able to follow and write algorithms that use variables and constants and one- and two-dimensional data structures (strings, records, arrays)
- understand the need for and be able to follow and write algorithms that use arithmetic operators division, multiplication, (addition, subtraction, modulus, integer division, exponentiation), relational operators (equal to, less than, greater than, not
- be able to determine the correct output of an algorithm for a given set of data and use a trace table to determine what value a variable will hold at a given point in an algorithm
- understand types of errors that can occur in programs (syntax, logic, runtime) and be able to identify and correct logic errors in algorithms
- understand how standard algorithms (bubble sort, merge sort, linear search, binary search) work
- be able to use logical reasoning and test data to evaluate an algorithm’s fitness for purpose and efficiency (number of compares, number of passes through a loop, use of memory)
1.3 Truth tables
1 Sub Topics
- be able to apply logical operators (AND, OR, NOT) in truth tables with up to three inputs to solve problems
2.1 Binary
6 Sub Topics
- understand that computers use binary to represent data (numbers, text, sound, graphics) and program instructions and be able to determine the maximum number of states that can be represented by a binary pattern of a given length
- understand how computers represent and manipulate unsigned integers and two’s complement signed integers
- be able to convert between denary and 8-bit binary numbers (0 to 255, -128 to +127)
- be able to add together two positive binary patterns and apply logical and arithmetic binary shifts
- understand the concept of overflow in relation to the number of bits available to store a value
- understand why hexadecimal notation is used and be able to convert between hexadecimal and binary
2.3 Data storage and compression
2 Sub Topics
- understand that data storage is measured in binary multiples (bit, nibble, byte, kibibyte, mebibyte, gibibyte, tebibyte) and be able to construct expressions to calculate file sizes and data capacity requirements
- understand the need for data compression and methods of compressing data (lossless, lossy)
2.2 Data Representation
3 Sub Topics
- understand how computers encode characters using 7-bit ASCII
- understand how bitmap images are represented in binary (pixels, resolution, colour depth)
- understand the limitations of binary representation of data when constrained by the number of available bits
3.1 Hardware
4 Sub Topics
- understand the von Neumann stored program concept and the role of main memory (RAM), CPU (control unit, arithmetic logic unit, registers), clock, address bus, data bus, control bus in the fetch-decode-execute cycle
- understand the role of secondary storage and the ways in which data is stored on devices (magnetic, optical, solid state)
- understand the role of secondary storage and the ways in which data is stored on devices (magnetic, optical, solid state)
- understand the concept of an embedded system and what embedded systems are used for
3.2 Software
5 Sub Topics
- understand the purpose and functionality of an operating system (file management, process management, peripheral management, user management)
- understand the purpose and functionality of utility software (file repair, backup, data compression, disk defragmentation, anti-malware
- understand the purpose and functionality of utility software (file repair, backup, data compression, disk defragmentation, anti-malware
- understand the importance of developing robust software and methods of identifying vulnerabilities (audit trails, code reviews)
- understand the importance of developing robust software and methods of identifying vulnerabilities (audit trails, code reviews)
3.3 Programming languages
2 Sub Topics
- understand the characteristics and purposes of low-level and high-level programming languages
- understand how an interpreter differs from a compiler in the way it translates high-level code into machine code
4.1 Networks
10 Sub Topics
- understand why computers are connected in a network
- understand different types of networks (LAN, WAN)
- understand how the internet is structured (IP addressing, routers)
- understand how the internet is structured (IP addressing, routers)
- understand how the characteristics of wired and wireless connectivity impact on performance (speed, range, latency, bandwidth)
- understand that network speeds are measured in bits per and be able to construct expressions involving file size, transmission rate and time
- understand the role of and need for (Ethernet, Wi-Fi, TCP/IP, HTTP, HTTPS, FTP) and email protocols
- understand the role of and need for (Ethernet, Wi-Fi, TCP/IP, HTTP, HTTPS, FTP) and email protocols
- understand how the 4-layer (application, transport, internet, link) TCP/IP model handles data transmission over a network
- understand characteristics of network topologies (bus, star, mesh)
4.2 Network security
2 Sub Topics
- understand the importance of network security, ways of identifying network vulnerabilities (penetration testing, ethical hacking) and methods of protecting networks (access control, physical security, firewalls)
- understand the importance of network security, ways of identifying network vulnerabilities (penetration testing, ethical hacking) and methods of protecting networks (access control, physical security, firewalls)
5.1 Environmental
1 Sub Topics
- understand environmental issues associated with the use of digital devices (energy consumption, manufacture, replacement cycle, disposal)
5.2 Ethical and legal
3 Sub Topics
- understand ethical and legal issues associated with the collection and use of personal data (privacy, ownership, consent, misuse, data protection)
- understand ethical and legal issues associated with the use of artificial intelligence, machine learning and robotics (accountability, safety, algorithmic bias, legal liability)
- understand methods of intellectual property protection for computer systems and software (copyright, patents, trademarks, licencing)
5.3 Cybersecurity
2 Sub Topics
- understand the threat to digital systems posed by malware (viruses, worms, Trojans, ransomware, key loggers) and how hackers exploit technical vulnerabilities (unpatched software, out-of-date anti-malware) and use social engineering to carry out cyber
- understand methods of protecting digital systems and data (anti-malware, encryption, acceptable use policies, backup and recovery procedures)
Packages
| Title | Lectures | Price |
|---|---|---|
| Inquiry Based Session-1 lesson | 1 | 25$ |
| Regular Package/ 4 lesson | 4 | 100$ |
| Standard Package/8 Lesson | 8 | 170$ |
| Premium Package/12 | 12 | 240$ |
| Fast Track/16 Lesson | 16 | 300$ |
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