
psyc 1001 lecturer 仆街死
mid term average D+

都唔知點解我咁on9 free elective 揀左佢

而家仲通頂寫緊mini report
information system/information management 伏唔伏
咁究竟仲有乜科係唔洗乞食
專科
其實engine係課程難
但相比文科同pure sci 唔乞食
想知讀完哂銀時之後點
想知贏完哂銀時之後點
有冇巴打分享一啲低分但又有用唔伏嘅科?
講起psyc 就嬲![]()
psyc 1001 lecturer 仆街死
mid term average D+![]()
都唔知點解我咁on9 free elective 揀左佢![]()
而家仲通頂寫緊mini report
醫療科除咗medic dental speech nursing之外都![]()
![]()
pt 屈機喎
Radio唔好咩![]()
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![]()
雖然應該會讀到hihi,但工作環境相對輕鬆又一定有工開
見到有啲人話engine難過science好多
我講吓平時嘅經驗
不過個人經驗好難避免有偏頗
如果有唔同意嘅地方可以攞出嚟再討論
以下我用physics同mech/civil比較
因為讀嘅嘢比較相近
lifs同埋civil呢啲太唔同我真係唔知邊度開始比
通常讀得上面啲科嘅,有幾樣嘢係一定要讀mechanics, calculus, linear algebra, differential equation, thermodynamics
mechanics嘅部分
engine嘅學生會學基本嘅Newtonian mechanics
計吓一個structure唔同部分食幾多力
計吓torque睇吓會唔會冧或者爛
計吓一嚿機械run嘅時候每一部分點樣喐
physics嘅學生當然要熟Newtonian mechanics
學harmonic oscillator, central force, rigid body
有時要處理唔同coordinates system/non-inertial frame下,點樣correct返Newton's law
rigid body有時要用tensor去處理
當學到Lagrangian mechanics
要識variation of calculus, Lagrange multiplier
mechanics部分,我覺得physics係深同難明好多
calculus部分,講應用大家都差唔多
但係我留意到,engine讀嘅通常都係濃縮版
通常會少咗Lagrange multiplier
唔知係咪因為難解啲
亦都好少會解stoke's theorem嘅meaning
divergence theorem就可能易明啲所以會講吓
linear algebra都有濃縮嘅問題
好多matrix嘅operation就咁掉個定義出嚟
好少講點嚟或者背後個meaning
我相信唔少讀engine嘅人係唔知點解
det A = 0 <=> A is invertible
determinant嘅運算方面,兩邊都好少解釋,打和
vector space同orthogonality, projection
呢啲兩邊都教得差唔多,都係輸畀pure math
DE呢,phys識solve嘅engine都識㗎喇
不過engine跳晒所有關於solution existence同uniqueness嘅問題
對wronskian嘅理解physics嘅學生應該都學得深啲
至於linear system就應該兩邊差唔多
Fourier series應該都差唔多
thermo呢,我認為各有各難
engine印象中會處理non-ideal gas
所以係練睇表同記用邊條state equation
亦都要計吓heat transfer嘅題目
phys就多考慮ideal嘅情況,所以唔使鬥快查表
但係通常會溝埋Quantum
study吓boson gas, fermion gas同平時有咩分別
有啲會講吓entropy同information嘅關係
好長
有啲學咗太耐,可能有甩漏
屌還屌,唔好咁大力
見到有啲人話engine難過science好多
我講吓平時嘅經驗
不過個人經驗好難避免有偏頗
如果有唔同意嘅地方可以攞出嚟再討論
以下我用physics同mech/civil比較
因為讀嘅嘢比較相近
lifs同埋civil呢啲太唔同我真係唔知邊度開始比
通常讀得上面啲科嘅,有幾樣嘢係一定要讀mechanics, calculus, linear algebra, differential equation, thermodynamics
mechanics嘅部分
engine嘅學生會學基本嘅Newtonian mechanics
計吓一個structure唔同部分食幾多力
計吓torque睇吓會唔會冧或者爛
計吓一嚿機械run嘅時候每一部分點樣喐
physics嘅學生當然要熟Newtonian mechanics
學harmonic oscillator, central force, rigid body
有時要處理唔同coordinates system/non-inertial frame下,點樣correct返Newton's law
rigid body有時要用tensor去處理
當學到Lagrangian mechanics
要識variation of calculus, Lagrange multiplier
mechanics部分,我覺得physics係深同難明好多
calculus部分,講應用大家都差唔多
但係我留意到,engine讀嘅通常都係濃縮版
通常會少咗Lagrange multiplier
唔知係咪因為難解啲
亦都好少會解stoke's theorem嘅meaning
divergence theorem就可能易明啲所以會講吓
linear algebra都有濃縮嘅問題
好多matrix嘅operation就咁掉個定義出嚟
好少講點嚟或者背後個meaning
我相信唔少讀engine嘅人係唔知點解
det A = 0 <=> A is invertible
determinant嘅運算方面,兩邊都好少解釋,打和
vector space同orthogonality, projection
呢啲兩邊都教得差唔多,都係輸畀pure math
DE呢,phys識solve嘅engine都識㗎喇
不過engine跳晒所有關於solution existence同uniqueness嘅問題
對wronskian嘅理解physics嘅學生應該都學得深啲
至於linear system就應該兩邊差唔多
Fourier series應該都差唔多
thermo呢,我認為各有各難
engine印象中會處理non-ideal gas
所以係練睇表同記用邊條state equation
亦都要計吓heat transfer嘅題目
phys就多考慮ideal嘅情況,所以唔使鬥快查表
但係通常會溝埋Quantum
study吓boson gas, fermion gas同平時有咩分別
有啲會講吓entropy同information嘅關係
好長
有啲學咗太耐,可能有甩漏
屌還屌,唔好咁大力